Jobs in the United States

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Added 5 mins ago
ZP
Senior/Principal Structural Analyst
Zeno Power
Seattle, WA
- $145,000 to $185,000 USD / year
…(RPS) technologies. This role will be reporting to the Analysis…
Added 10 mins ago
AB
FVP, Commercial Banking Transformation
Axos Bank
San Diego, CA
- $150,000 to $170,000 USD / year
…operations, bridging business strategy, solution architecture, and…
Added 11 mins ago
UA
Resident Service Technician-Longview WA
USABB ABB Inc.
Remote, United States
- $70,000 to $120,000 USD / year
Ability to use electrical test equipment such as voltmeters or multi-meters. Candidate should know how to identify voltage systems that are above the level 240 VAC/870 VDC.
Added 16 mins ago
Senior OSP Program Manager - Long Haul Deployment
Zayo
Providence, RI
The Senior Program Manager, Long Haul OSP Deployment is responsible for the strategic leadership and successful delivery of Zayo's long haul fiber deployment portfolio through direct…
Added 16 mins ago
EG
Technical Program Manager
Eliassen Group
Providence, RI
- $70 to $75 USD / hour
Our client seeks an experienced Technical Program Manager for the Enterprise Business Systems team. The role leads complex, cross-functional programs focused on business applications and…
Added 17 mins ago
CA
Network Senior Director of Infrastructure (Facilities)
Citizen Advocates, Inc.
Malone, NY
- $120,000 to $145,000 USD / year
The Network Senior Director of Infrastructure (Facilities) leads the Network's physical infrastructure program - Facilities, Environmental Services, Capital Projects, Transportation, and…
Added 19 mins ago
Client Engagement Lead - Pharma & Life Sciences
Turing
NY
…research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and…
Added 29 mins ago
MQ
Firmware Engineering Manager
Monarch Quantum
San Diego, CA
- $175,000 to $225,000 USD / year
Partner closely with Electrical, Software, Optical, Mechanical, Systems, Manufacturing, Program Management, and Project Engineering teams to ensure seamless system-level integration.
Added 30 mins ago
Engine Vendor Maintenance Partner
Alaska Airlines
WA-SeaTac · HI-Honolulu
Partners with the engineering department to ensure required technical information is provided on time and provides feedback regarding conditions found during accomplishment of engine repair.
Added 31 mins ago
Director Security Operations
Sierra Nevada Corporation
Sparks, NV
…and oversight for the organization's comprehensive security program, which includes information security, industrial security, special programs management, crisis management, and…
Added 36 mins ago
Manager, Facilities Operations Commissioning
Quality Technology Services, LLC
York, SC
The Manager, Facilities Operations Engineering Commissioning will be responsible for the oversight of commissioning, continuous improvement, and developmental support for sites in a…
Added 39 mins ago
Mechanical Engineering Manager
BlackSky
Tukwila, WA
As the Manager of the Mechanical Design Engineering team, you will lead a group of talented space vehicle Mechanical Engineers responsible for the design of space vehicle systems,…
Added 39 mins ago
Senior Technical Program Manager
Anduril Industries
Costa Mesa, CA
Anduril is seeking a Senior Technical Program Manager to lead the test, integration, and operational fielding of Group 3 uncrewed aircraft systems and their mission payloads. In this role…
Added 41 mins ago
MA
Engineering Team Lead - Customer Identity and Access Management
Manufacturers and Traders Trust Co
Buffalo, NY
- $116,400 to $194,000 USD / year
Build rapport within the organization. Communicate and develop a professional level of communication and cooperation.
Added 47 mins ago
Contamination Control Engineer 1
United Launch Alliance
Cape Canaveral, FL
Articulates the contamination control program via written and oral communications across the organization and with the external customer community.
Added 49 mins ago
EG
Technical Program Manager
Eliassen Group
Helena, MT
- $70 to $75 USD / hour
Our client seeks an experienced Technical Program Manager for the Enterprise Business Systems team. The role leads complex, cross-functional programs focused on business applications and…
Added 53 mins ago
KP
Engineer Senior - Engineer Principal
Kentucky Power Company
Louisa, KY
- $116,255 to $151,132 USD / year
Has typically acquired four (4) or more years of related engineering experience along with a Bachelor's degree in engineering in a program accredited by ABET*
Added 56 mins ago
Senior Manager, Operations Program Manager
ŌURA
San Francisco, CA
As a Senior Manager, Operations Program Manager, you will lead a team responsible for driving hardware programs across the full product lifecycle - from New Product Introduction (NPI)…
Added 57 mins ago
Lead Project Manager
GE Vernova
Longmont, CO
The Lead Project Manager is responsible for planning, leading, organizing and motivating the cross-functional project team working on turbine controls.
Added 57 mins ago
Software Quality Assurance Engineer and Tester (FM Test/App Training Specialist & CM Test/App Training Specialist)
Quantum Sky
Aurora, CO
1. Senior OFF Engineering & Technical Leadership
Added 57 mins ago
MFLC Regional Manager (Colorado Springs, CO)
Trinzic
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Military Family Life Counseling (MFLC) Program Regional Manager
Added 58 mins ago
EG
Technical Program Manager
Eliassen Group
Denver, CO
- $70 to $75 USD / hour
Our client seeks an experienced Technical Program Manager for the Enterprise Business Systems team. The role leads complex, cross-functional programs focused on business applications and…
Added 1 hour ago
RE
Engineering Team Lead-EPC
Rosendin Electric, Inc
United States
- $129,600 to $170,000 USD / year
If you’re looking to take your career to the next level and work with some of the best and brightest in the industry, we want to hear from you. Since our founding over 100+ years ago,…
Added 1 hour ago
VP, Business Development and Earned Revenue
Code for America
Remote, United States
…starting point. Working with the CEO and across Product, Programs, Engineering, and Finance, the VP will translate ideas into focused commercial experiments, personally secure early paid…
Added 1 hour ago
Manager, Continuous Improvement & PMO
Stryker Employment Company, LLC
Fort Lauderdale, FL
The Manager, Continuous Improvement & PMO leads the Mako Robotics Continuous Improvement program and Project Management Office (PMO). This role drives Lean transformation, operational…

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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