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Intake Specialist, RAPID
Center for Justice Innovation
Brooklyn, NY
- $52,000 to $64,500 USD / year
Brooklyn Justice Initiatives (BJI) works to re-engineer the experience of criminal court in Brooklyn by providing judges, attorneys, and participants with meaningful alternatives to bail,…
Added 6 mins ago
Field Service Engineer (Proton Therapy) - Lancaster, PA
x Varian Medical Systems, Inc.
Remote, United States
Varian Proton Therapy Field Service Engineers provide highly visible customer support with a customer site dedicated team and is responsible for the overall on-site operation, maintenance…
Added 6 mins ago
AL
Associate Controls Engineer
Automated Logic Contracting Sv
Orlando, FL
- $53,000 to $106,000 USD / year
As a Controls Engineer, you’ll be an expert voice on-site- performing difficult and complex engineering activities and creating standard work for common procedures.
Added 9 mins ago
A
Robotics Engineer
Actalent
Council Bluffs, IA
- $36 to $40 USD / hour
We are seeking a Robotics Engineer to support the design, programming, integration, and startup of advanced robotic automation systems. This role plays a critical part in delivering…
Added 9 mins ago
Mechanical Designer
Actalent
YORK, NE
We are seeking a Robotics Engineer to support the design, programming, integration, and startup of advanced robotic automation systems. This role plays a critical part in delivering…
Added 12 mins ago
Principal DevOps Engineer
KBR Wyle Services, LLC
Colorado Springs, CO
Our KBR team in Colorado Springs, CO is seeking a Principal DevOps Engineer. This role is pivotal in integrating cloud technologies with DevOps practices, requiring a blend of technical…
Added 24 mins ago
Chief Engineer
Booz Allen Hamilton_United States
Reston, VA · McLean, VA
…fabrics with varying security classifications. As the Chief Engineer, you will directly manage and orchestrate cross-functional engineering teams structured around core DoW-approved Zero…
Added 33 mins ago
Lead Digital Workplace Engineer
Valvoline Global
United States
The Lead Digital Workplace Engineer serves as the technical owner of Valvoline Global's endpoint platform and provides leadership for endpoint engineering services. This role is accountable…
Added 36 mins ago
Postdoctoral Researcher
Texas A&M Engineering
College Station, TX
The Department of Aerospace Engineering at Texas A&M University seeks a Postdoctoral Research Associate to conduct research in computational fluid dynamics and turbulence. The successful…
Added 37 mins ago
Process Engineer Intern
CES CarMax Enterprise Services, LLC
United States
As a Process Engineer Intern based at our Corporate Offices in Richmond, VA, you will play a key role in identifying opportunities within large-scale projects to drive continuous…
Added 39 mins ago
Cloud Computing, Senior Advisor
Peraton
Remote, United States
After-hours on call rotation shift support through the PagerDuty application
Added 39 mins ago
Process Engineering Technician - Coatings
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Indianapolis, IN
Support the Manufacturing Engineer with new part, process, and equipment implementation, including MES setup and configuration.
Added 42 mins ago
A
Controls Engineer
Actalent
Minneapolis, MN
- $50 to $65 USD / hour
…work takes place in an office or cubicle setting, where the engineer performs design and programming tasks using tools such as AutoCAD Electrical and PLC/HMI development environments. The…
Added 42 mins ago
Senior Cloud Infrastructure Engineer
Lighthouse Document Technologies Inc
Remote, United States
The Senior Cloud Infrastructure Engineer demonstrates deep technical expertise and leadership in cloud infrastructure, automation, application hosting, and AI-enabled engineering practices.…
Added 46 mins ago
UG
Software Engineer - Cloud Platform - Remote
UnitedHealth Group
Eden Prairie, MN
- $72,800 to $130,000 USD / year
Participate in the team's weekly on-call rotation, support incident response and service restoration, and convert operational learnings into tests, automation, documentation or platform…
Added 47 mins ago
Scientist/Engineer, Mixed Modality Technical Operations - Lilly Medicine Foundry
Eli Lilly and Company
United States
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Added 48 mins ago
PRODUCT DEVELOPMENT TEST TECHNICIAN
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Franklin, KY
…executing laboratory testing and preparing lab-scale samples to support research, new product development, product improvement, raw material qualification, process validation,…
Added 50 mins ago
Associate Structural Engineer (Buildings)
WSP
New York, NY · NY
WSP is currently initiating a search for an Associate Structural Engineer for our New York, NY office. Be involved in projects with our Property and Buildings Team and be a part of a…
Added 53 mins ago
Principal DevOps Engineer
KBR
Colorado Springs, CO
Our KBR team in Colorado Springs, CO is seeking a Principal DevOps Engineer. This role is pivotal in integrating cloud technologies with DevOps practices, requiring a blend of technical…
Added 55 mins ago
Senior Cloud Data Engineer
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The Senior Cloud Data Engineer designs, develops, and optimizes scalable data solutions that support manufacturing operations, business intelligence, advanced analytics, and digital…
Added 57 mins ago
Associate Director, Pharmaceutical Data Engineer
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Added 59 mins ago
T
Full Stack Developer III
TEKsystems
Newport Beach, CA
- $60 to $80 USD / hour
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps…
Added 1 hour ago
Lead ATM Systems Engineer
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Remote, United States
This role works at the intersection of systems engineering, automation, application deployment, infrastructure design, platform support, and customer experience. You will be responsible for…
Added 1 hour ago
EI
Operations Efficiency Technician I - 2nd Shift
Entegris, Inc.
San Luis Obispo, CA
- $24 to $26 USD / hour
…productivity and quality of that specific Value Stream through the support of each technician, process and/or work…
Added 1 hour ago
PRODUCT DEVELOPMENT TEST TECHNICIAN
VYBOND SPECIALTY ADHESIVES LLC
Franklin, KY
…executing laboratory testing and preparing lab-scale samples to support research, new product development, product improvement, raw material qualification, process validation,…

Toyota

Manager, Machine Learning

Plano, TX, United States

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Job details

Experience: 7+ years of professional experience in data science, machine learning engineering, or applied ML, with hands-on ownership of production systems and data-intensive applications.
Posting language: English
Posted: Sep 22, 2026

Original job description

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.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, 'job flexibility benefits' [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we’re looking for

Toyota's Data Science department is looking for an experienced technical leader to manage the team that builds and operates production-grade machine learning, analytics, optimization, and decision-support systems to join the team as a people leader, with responsibilities and scope aligned to the candidate’s experience, knowledge, interview performance, and unique skill set. This role leads the engineers behind ML-powered products across credit, pricing, collections, treasury, and other business functions, setting technical direction, owning delivery, and ensuring these capabilities operate as end-to-end decision systems that balance technical performance, business value, operational reliability, and governance.

Reporting to the National Manager, Data Science, you will partner with data science and business leaders and cross-functional technology teams to translate business priorities into intelligent, data-driven capabilities. You will set the team's technical bar and delivery rhythm, helping engineers move quickly without compromising quality or operational readiness. You will remain selectively hands-on where your judgment matters most, shaping architecture, challenging assumptions, and guiding high-impact designs while empowering the team to own execution and innovate.

Most importantly, you are a people leader who coaches engineers and senior ICs, gives direct and actionable feedback, grows technical ownership, and builds a team environment where engineers produce thoughtful, durable work.

What you’ll be doing

Lead and develop a high-performing team: Hire, coach, and mentor Machine Learning Engineers and senior engineers. Create intentional development opportunities for both ICs and those who may grow into leadership. Build a culture of ownership, continuous improvement, and constructive feedback.
Set technical direction: Guide architecture, testing, deployment, observability, drift detection and revalidation, data quality, and production-readiness standards. Treat ML systems differently from ordinary software by designing for model and data drift, champion/challenger evaluation, clear revalidation triggers, strong lineage, and auditability. Steer designs through sharp questions about failure modes, performance, and governance.
Partner across functions: Collaborate with data scientists, analysts, data engineers, product managers, risk and finance partners, and technology teams to translate business needs, which are often ambiguous or regulated, into clear technical plans. Work with data science leadership to establish clear handoff and validation criteria for prototypes, ensuring that experimental models can be hardened, governed, and deployed efficiently. Drive consensus by framing options, risks, and recommendations in plain language.
Deliver scalable, reliable systems: Oversee the design and implementation of high-throughput services, batch pipelines, optimization and operations research engines, such as MILP, and analytics applications on AWS, Snowflake, or comparable platforms. Evaluate emerging techniques such as generative AI, simulation, or advanced forecasting when they provide measurable business value, and integrate them responsibly with proper governance. Ensure systems meet reliability, reproducibility, auditability, and performance targets.
Define and maintain the ML engineering roadmap and operating model: Sequence model development, platform improvements, and reliability work; clarify ownership boundaries between data science, ML engineering, and other technology teams; and balance short-term experimentation with long-term platform leverage.
Raise the engineering bar: Run design reviews, code reviews, release checklists, and team processes that prioritize maintainability, reproducibility, safety, and audit-ready documentation. Champion responsible AI practices, including model explainability, bias and fairness considerations, and reproducible decision logic.
Improve processes and tools: Introduce stronger MLOps practices, including reusable patterns, CI/CD improvements, automated testing, monitoring and alerting, reproducibility checks, and robust incident response. Help build internal frameworks, templates, and golden paths that make high-quality delivery repeatable.
Own portfolio delivery: Balance new development with maintenance and technical debt. Drive prioritization across domains and stakeholders by weighing business value, urgency, risk, and technical effort. Manage tradeoffs among speed, quality, and long-term operating cost, and ensure the team is building the right capabilities in the right order.
Represent the team: Communicate status, risks, and design decisions to peers and leadership. Contribute to planning and budgeting discussions. Influence strategy outside your reporting line when needed

What you bring

Master’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or a related technical field, or equivalent practical experience. Advanced degree preferred.
7+ years of professional experience in data science, machine learning engineering, or applied ML, with hands-on ownership of production systems and data-intensive applications.
2+ years of people-management experience, or equivalent experience leading technical teams, with responsibility for coaching, performance feedback, and delivery ownership, along with a track record of developing engineers and mentoring senior ICs to create environments where teams make thoughtful tradeoffs and deliver durable systems.
Demonstrated experience building, deploying, and operating machine learning or optimization systems in production, with ownership across the full lifecycle from design through monitoring, drift management, and retraining in the cloud.
Strong proficiency with Python and SQL, along with hands-on experience using cloud platforms such as AWS, GCP, or Azure and modern data technologies such as Snowflake, Spark, or Databricks.
Experience establishing or improving engineering processes such as code review, design review, spec-driven development, testing strategy, production readiness, monitoring, documentation, and post-incident review to raise team standards.
A strong instinct to ask how a decision can be demonstrated to be correct, reproducible, and defensible before shipping, along with comfort operating in environments where models carry audit and regulatory exposure.
Experience managing delivery across multiple projects, stakeholders, and business domains, while balancing urgency, risk, compliance, and technical debt.
Excellent written and verbal communication skills, including the ability to write clear design documents, present technical options and tradeoffs, and provide executive-level updates.

Added bonus if you have

PHD in a quantitative or technical discipline (CS, Engineering, Data Science, Statistics, Mathematics, Operations Research, etc.)
Domain experience in regulated decisioning (lending, insurance, fraud, risk, pricing) and the governance and auditability practices that come with it
Advanced MLOps experience: CI/CD, model registries, containerization (Docker, Kubernetes), infrastructure-as-code, automated drift detection, data validation, or deployment governance
Generative AI application experience: LLM-powered workflows, RAG, semantic search, evaluation, guardrails, monitoring, or responsible-AI practices
Experience building reusable internal platforms, frameworks, templates, or golden paths that improved engineering quality across teams.
Relevant credentials: AWS Certified Machine Learning Engineer – Associate, Solutions Architect, Developer, or equivalent

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

A work environment built on teamwork, flexibility, and respect
Professional growth and development programs to help advance your career, as well as 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 featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable)
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools and more
Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

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.

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 talent.acquisition@toyota.com .

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