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Senior Lead Machine Learning Engineer

Capital One

Multiple locations

As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:

Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions

Preferred Qualifications:

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models
3+ years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
3+ years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, IT AI Engineering - Agent Engineering

Intro

Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!

Why you’ll love this job

As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.

What you’ll do

As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

The Manager, AI Engineering – Agent Engineering manages a team of AI engineers responsible for designing, building, and operating AI agents that work directly with business partners
You will partner closely with business and technology stakeholders to identify high-value opportunities, translate workflows into agent capabilities, and deliver production-grade systems with strong governance, observability, and responsible AI practices.
Lead the end-to-end development of agentic systems: intent detection, planning, tool use, memory patterns, retrieval augmentation (RAG), and multi-step workflow orchestration.
Define and enforce reference architectures and standards for agent frameworks, tool APIs, prompt/version management, and deployment patterns.
Ensure agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments.
Work directly with business partners to understand workflows, constraints, and success metrics; translate needs into agent roadmaps and well-defined requirements.
Manage stakeholder expectations with clear communication, trade-offs, and transparent progress reporting
Implement safeguards for privacy, security, and responsible AI: data handling, access controls, content filtering, audit logging, and human-in-the-loop controls where appropriate
Continuously optimize performance across accuracy, safety, latency, and cost.
Exhibits strong business and leadership skills, deep technology perspective to guide solutions, and strong communication skills to coordinate with Engineers to ensure they understand business needs and objectives, as well as technical requirements of products
Collaborates with Business and IT leadership to execute and communicate organization’s technical vision, mission, and work priorities, and drives progress towards roadmaps and ensures efficient technical product management and effective communication with stakeholders
Creates environment for delivery teams to be self-governing organizations who are accountable for their own performance and delivery commitments and measured accordingly
Provide input on technology decisions, people management, and product features across all stages of product lifecycle
Establish open lines of communication between engineering squads and IT leadership, and support clear adherence to business requirements Facilitate and monitor clear Engineer check-ins, sprint deliverables, and open communication toward squads and stakeholders
Drives forward increased technical upskilling across organization with education, programs, and metrics
Manage Engineer staffing strategy to ensure alignment to Scrum and Agile principles and work closely with Scrum Lead
Promote use of industry leading technology trends and continuously assess AA IT needs and areas for improvement
Manages and leads adoption and migration of new and emerging technologies
Leads, develops, and mentors a high performing engineering team of individuals with a diverse range of technical skills and experiences
Responsible for budget management and forecasting
Manages production issues and off-hours support, communication, and coordination, as needed

All you’ll need for success

Minimum Qualifications- Education & Prior Job Experience

Bachelor’s degree in Technology, Computer Science, Information Systems,  or related technical discipline, or equivalent experience/training
5 years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies
5+ years in software engineering, AI engineering, or applied ML roles, with 3+ years leading engineering teams
Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method
Experience building systems with enterprise-grade security, reliability, and observability

Preferred Qualifications- Education & Prior Job Experience

Proven experience delivering production AI solutions with measurable business outcomes
Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation methods
Strong technical leadership, and extensive experience in Agile methodology-style leadership environment
Hands-on expertise in backend engineering (e.g., Python, Java, C#, or Node.js) and API/service design
Experience building agentic orchestration using frameworks such as Semantic Kernel, LangChain/LangGraph, Microsoft Copilot Studio, OpenAI/Anthropic tool calling patterns, or equivalent internal frameworks
Familiarity with enterprise governance practices: model/prompt approvals, audit logs, data classification, and risk controls.
Knowledge of experimentation and measurement: A/B testing, KPI instrumentation, and operational analytics
Airline industry experience, including engineering / business processes and supporting technology

Skills, Licenses & Certifications

Excellent communication skills to present to executive management often and emphasize the important intersection of business and technology
Proven ability to handle multiple products/work streams and demands efficiently
Experience in leading a team of individuals with various levels of skills and experience in potentially high stress and challenging situations
Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environment
Leads, influences, and upholds technology standards to ensure resiliency goals are met and continuously improved upon
Basic financial skills

What you’ll get

Feel free to take advantage of all that American Airlines has to offer:

Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more.
Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need.
401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more

Feel free to be yourself at American

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.

Ground Systems Engineer

BOOZ, ALLEN & HAMILTON, INC.

Colorado Springs, CO, United States

The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security space missions? You understand your customer’s environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer focus ed engineering solution. If this sounds like you, come join Booz Allen Hamilton’s new Remote Sensing Systems Engineering and Integration ( SE & I ) team to work on the Military’s space programs.

As a ground systems engineer on our team, you will work with Booz Allen colleagues and the Military to develop and deploy the next generation of Overhead Persistent Infrared ( OPIR ) ground systems capab ilities to deliver critical information to our warfighters to quickly win or even prevent future wars. Your client will t rus t you to develop Technical Requirements Documents ( TRDs ) , Interface Control Documents ( ICDs ) , technical assessments, integration plans, verification plans, and digital mission and system models for satellite ground systems. You will grow your skills by researching new requirements, technologies, and threats and using innovative engineering met hodologies and tools to create tomorrow’s solutions.

Join us. The world can’t wait.

You Have:

5+ years of experience with large-scale ground systems engineering and integration on national security space programs
4+ years of experience with performing systems engineering analysis and developing systems engineering products for satellite systems or ground systems for Command and Control and Data Processing
Experience with the development of technical specifications, interface control documents, ground architectures and designs, integration plans and schedules, and test plans
Experience with managing t race ability of requirements and developing testable criteria, system validation and verification, and analysis
Knowledge of systems engineering standards, including IEEE 15288.1 and IEEE 15288.2
Knowledge of network architecture
Knowledge of Agile met hodologies
Secret clearance
Bachelor’s degree in a Science, Technology, Engineering, or Mathematics ( STEM ) field

Nice If You Have:

Experience with performing systems engineering, integration, and testing on space-based remote sensing systems, including SBIRS, Next Generation OPIR, FORGE, STSS, HBTSS, DMSP, WSF-M, and EWS
Experience with planning and executing program reviews throughout the life cycle of the system
Experience with using a Model-Based Systems Engineering approach to manage system definitions and technical baselines
Knowledge of satellite ground system design, cloud architectures, DevOps and DevSecOps, sof tware frameworks, communication and networking, data processing, exploitation, and dissemination, space system operations and tasking, mission planning, space-ground integration, or space system factory support
Knowledge of DoD 5000.01 or 5000.02
Knowledge of systems engineering standards, including IEEE 15288.1 and IEEE 15288.2
TS/SCI clearance
Master’s degree in Engineering, Mathematics, Physics, or Computer Science
INCOSE Systems Engineering Professional Certification, including ASEP, CSEP, or ESEP Certification

Clearance :

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Cross Domain Systems Engineer, Senior

BOOZ, ALLEN & HAMILTON, INC.

The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national security? You understand your customers’ environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution.

As a Cross Domain Systems Engineer on our team, you have the chance to shape customer missions by leading an engineering team in the development and deployment of digital cross domain solutions. Your customer will t rus t you to not only design and develop these systems, but also evolve them with advanced technological solutions. You will lead customer e nga gement to capture, define, and understand user and security requirements, decompose hardware, sof tware, interface, and security control requirements, coordinate with stakeholders throughout system development and fielding activities, coordinate and plan system integration, and test and deployment. You will support efforts to accredit systems following the Risk Management Framework. You will help plan security improvements to systems and team processes to address Raise the Bar ( RTB ) Cross-Domain security objectives. You will lead efforts to plan, design, and implement cross-domain data flows, help users understand and define their data schemas, and help define and validate appropriate data handling and filtering policies . You will lead efforts to plan and provide user training and drive user adoption of the new systems. On our team, you’ll be able to broaden your skillset into areas like Cross Domain technologies, Cloud technologies, Agile lifecycle, and cybersecurity.

Grow your skills by merging systems engineering , cybersecurity, and strong customer e nga gement to create successful mission platforms. Join our team and create the future of cyber security for national customers.

Join us. The world can’t wait.

You Have:

Experience developing requirements, including capability and system-level requirements, hardware, sof tware, interface requirements, user stories, or use cases
Experience developing technical written deliverables for a system delivery or deployment effort
Experience with online collaboration and work tracking tools such as Atlassian Suite, including Jira or Confluence and ServiceNow
Knowledge of the Risk Management Framework and how it applies to system accreditation
Ability to plan systems delivery and deployment efforts, including developing technical plans, schedules, resource allocations, and risk tracking
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in Computer Science or Information Technology and 5+ years of experience in engineering, or 12+ years of experience in engineering in lieu of a degree
Ability to obtain a DoD 8570.1 IAT Level II Certification within 6 months of start date

Nice If You Have:

Experience with system testing, configuration management, and installation
Experience with Agile lifecycle met hodology
Experience with Cross Domain Systems and RTB requirements for CDS
Experience with Cloud technologies such as AWS or Azure
Knowledge of DevOps and CI / CD
Knowledge of DoDAF or MBSE

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Senior Research Engineer – Lithium-ion Battery and Data Center Safety

FM

Norwood, Massachusetts

Job Description:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

FM is seeking a Senior Research Engineer to advance scientific understanding, develop testing methodologies and standards, and create engineering solutions in the field of battery safety. The ultimate goal is to support industrial property loss prevention by conducting high‑quality research focused on thermal and fire hazards associated with batteries, with a near‑term emphasis on lithium-ion systems used in data center and renewable energy applications.

Responsibilities

Develop and perform thermal and fire safety experiments at multiple battery scales – cell, module, unit, and high‑voltage-system levels.
Advance existing experimental capabilities and methods to support the development of standardized testing for hazard evaluation and protection of battery systems.
Analyze experimental data and prepare high-quality documentation.
Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners.
Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application.

Qualifications:

A Master’s degree with 3 years of experience, or a PhD degree in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field.
Strong understanding of existing and emerging battery technologies, heat transfer, fluid mechanics, and combustion.
Hands-on experience with battery fire testing and associated experimental approaches in fire science.
Experience with high-voltage battery system testing, such as BESS or UPS systems, is highly desirable.
Strong written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges.
Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment.

The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Manager, Application Production Support Automation

Toyota Motor Sales, U.S.A., Inc.

+4

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who We’re Looking For

This role requires a strong blend of deep technical expertise, operational rigor, and people leadership. The Operations Manager acts as the technical authority for operational automation and reliability while leading teams that partner closely with Engineering, SRE, Infrastructure, and Service Management. You will be responsible for ensuring production stability and reliability while driving the operational automation strategy to enhance efficiency. They will lead efforts in observability and monitoring to proactively identify and resolve issues. Excellence in managing incidents, problems, and changes is essential to maintain seamless operations. Additionally, the role requires strong team leadership skills focused on building capability and fostering continuous development within the team.

What You’ll Be Doing

Design and implement automated health checks, self-healing workflows, runbook automation, and zero-touch operations.
Define SLAs, SLOs, SLIs, lead incident response, drive RCA automation outcomes, and partner with engineering teams to embed operational readiness.

What you bring

Experience with Automation & Scripting: Python, Bash, PowerShell
Proficiency with Automation Tooling: UI Path (RPA)
Experience with Automation Tools: Ansible, Puppet, Chef, Jenkins, CI/CD
Proficiency with Monitoring: Dynatrace, Grafana, Open Telemetry
Experience with Operations: Incident, Problem, Change Management, ITIL, SRE concepts

Added bonus if you have

Successfully reduced manual operational work by implementing automation tools and streamlined processes, resulting in increased team efficiency and reduced human error.
Achieved significant improvements in Mean Time to Recovery (MTTR) and overall incident reduction through proactive incident management and root cause analysis.
Increased the rate of auto-remediation by designing and deploying intelligent automated workflows that resolve common issues without manual intervention.
Enhanced monitoring signal quality by refining alert thresholds and integrating advanced observability tools, leading to more accurate and actionable insights for faster issue detection.

What we’ll bring

During your interview process, our team will provide detailed information about our industry-leading benefits and career development opportunities. Here are a few highlights:

A work environment built on teamwork, flexibility, and respect.
Professional growth and development programs to help advance your career, including tuition reimbursement.
Team Member Vehicle Purchase Discount.
Toyota Team Member Lease Vehicle Program (if applicable).
Comprehensive health care and wellness plans for your entire family.
Toyota 401(k) Savings Plan with a company match, plus an annual retirement contribution from Toyota regardless of your own contributions.
Paid holidays and paid time off.
Referral services for prenatal services, adoption, childcare, schools, and more.
Tax advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
Relocation assistance (if applicable).

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [email protected].

Automation Controls Product Manager - Power & Circuit Protection

Career Opportunity | Presented by TRC Talent Solutions

Why Work with TRC?

At TRC Talent Solutions, we don’t just fill jobs; we build careers. With over 40 years of industry-leading expertise, we specialize in connecting high-caliber Engineering and IT professionals with companies that value innovation and employee growth. When you partner with TRC, you gain a dedicated advocate focused on finding the right cultural and professional fit for your long-term success.

The Opportunity: Leading Industrial Automation Innovator

Role: Automation Controls Product Manager – Power & Circuit Protection

Location: Greater Atlanta Area (Remote Flexibility Available)

Step into a high-ownership, entrepreneurial environment with a North American leader in industrial automation e-commerce. Known for disrupting the industry with a customer-first digital model, our client offers the rare combination of cutting-edge engineering and a genuine commitment to work-life balance.

If you are a Controls Engineer looking to transition into a strategic business role, or an experienced Product Manager passionate about industrial hardware, this is your platform to own a product line from cradle to grave.

Why This Company Stands Out:

True Work-Life Balance: Standard business hours (7-4 or 8-5) with strictly no overtime.

Financial Growth: Quarterly bonuses and a highly generous profit-sharing program.

Culture of Creativity: An engineering-centric office where servant leadership isn’t just a buzzword—it’s how they operate.

Wellness & Perks: On-campus gym, exercise classes, and full tuition reimbursement.

Objective

As the Product Manager (PM) for Power and Circuit Protection, you will act as the CEO of your product category. Partnering closely with a Product Engineer, you will manage a multi-million dollar line of business encompassing motor controls, transformers, and circuit protection. You will be responsible for defining the multi-year strategy, managing supplier relationships, and overseeing the entire lifecycle of new product introductions (NPI) to ensure the lowest cost of ownership and best-in-class customer experience.

Key Responsibilities

Strategic Roadmap: Develop and execute a multi-year product roadmap to expand market share and maintain a competitive edge.

Market Intelligence: Analyze market trends, customer needs, and competitor landscapes to identify white-space opportunities.

New Product Introduction (NPI): Lead the full launch process, including branding, supplier selection, price positioning, and initial sales forecasting.

Supplier Management: Negotiate supply agreements and manage global vendor relationships to optimize product costs and quality.

Commercial Execution: Develop marketing materials for the web store/catalog and provide high-level backline technical support for internal teams and customers.

Lifecycle Management: Manage product health, including end-of-life (EOL) transitions and obsolescence strategies for slow-moving inventory.

Qualifications & Experience

Educational Background: Bachelor’s degree in a technical discipline (Mechanical or Electrical Engineering preferred) or 10+ years of equivalent industry experience.

Industry Expertise: At least 7–10 years of experience in the Industrial Control & Automation market.

Functional Background: Experience as a Controls Engineer, Product Manager, Application Engineer, or System Integrator is highly valued.

Technical Knowledge: Deep subject matter expertise in motor controls, transformers, and circuit protection products.

Compliance & Tools: Familiarity with agency approvals (UL, CSA, CE) and CAD software (AutoCAD or SolidWorks) is a strong plus.

Soft Skills: Must be a self-starter with excellent communication skills and the ability to manage complex projects independently in a collaborative environment.

Benefits & Perks

Remote work options.

Quarterly bonuses + Profit Sharing.

Comprehensive Health, Dental, and Life Insurance.

401(k) with company match.

Tuition reimbursement for continuous learning.

On-site fitness facilities.

Manager, Data Scientist - Recommendation & Personalization Systems

Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One’s web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models , advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference , Transformer-based architectures , and sophisticated Recommender Systems .

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 3 years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines
At least 4 years of experience in developing and optimizing state-of-the-art Deep Learning models, specifically Transformer-based architectures, using PyTorch and distributed training with multi-GPU optimization
At least 4 years of experience with high-performance, distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science
New York, NY: $215,200 - $245,600 for Mgr, Data Science
San Jose, CA: $215,200 - $245,600 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist - Model Risk Office

Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data
Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models
Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.

The Ideal Candidate is:

Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
- A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational or vector databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years’ experience in Python, Scala, or R for large scale data analysis
At least 4 years’ experience with machine learning, including GenAI
At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $179,400 - $204,700 for Mgr, Data Science
McLean, VA: $197,300 - $225,100 for Mgr, Data Science
Richmond, VA: $179,400 - $204,700 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Data Scientist - US Card (Generative AI Systems)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling. We partner with product, tech and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience. You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.

Role Description

In this role, you will:

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies - Python, Kubernetes, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

Basic Qualifications:

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
- A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases

Preferred Qualifications:

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
At least 1 year of experience working with AWS
At least 1 year of experience managing people
At least 5 years’ experience in Python, Scala, or R for large scale data analysis
At least 5 years’ experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $225,400 - $257,200 for Sr Mgr, Data ScienceNew York, NY: $245,900 - $280,600 for Sr Mgr, Data Science