Jobs in the United States

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Added 3 hours ago
Trade Compliance Manager (Pocasset,MA) (Mgr Intl Trade Compliance 1) 30928
Huntington Ingalls Industries
Pocasset, MA
…Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our…
Added 4 hours ago
Senior Manager, Full-stack Engineer-People Leader
Capital One
Cambridge, MA
…goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers,…
Added 5 hours ago
WI
(USA) Senior Manager, Data Science
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
As a Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy robust machine learning models that drive strategic business decisions.…
Added 5 hours ago
Director, GTM AI Engineering
Samsara
Remote, United States
Samsara’s Machine Learning, AI, Analytics & Data (MAAD) team builds the intelligence and technology that helps our go-to-market teams work faster, make better decisions, and spend more time…
Added 5 hours ago
Software Product Management Pre Sales Senior Manager - Consumer Goods & Services
Accenture LLP Company
NY
As Senior Manager, Pre-Sales you support complex software sales cycles by delivering compelling product demonstrations, responding to technical and functional requirements, and building…
Added 7 hours ago
Senior Manager, Data Science - Model Risk
Capital One
Richmond, VA · McLean, VA · Chicago, IL · NY
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…
Added 8 hours ago
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Senior Technical Manager Web
Halvik
McLean, VA
- $100,000 USD / year
…Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something…
Added 8 hours ago
Senior Manager, Machine Learning Engineering
Instacart
Remote, United States
As the Senior Engineering Manager for the Advertiser Optimization team, you'll lead a team of engineers and applied research scientists to build state-of-the-art systems that optimize ad…
Added 9 hours ago
Sr. Technical Program Mgr., Robotics & Innovation - AMZL
Amazon.com Services LLC
Austin, TX · Nashville, TN · Bellevue, WA · New York, NY
…Delivery Stations, achieving zero-touch unit-to-recipient (UTR) operations…
Added 9 hours ago
Senior Vice President, Real Estate Servicing & Specialized Operations
Navy Federal Credit Union
Vienna, VA · Pensacola, FL
This executive sets the long-range strategy and operating model for Real Estate Lending (REL) Servicing & Specialized Operations; advises senior executive leadership on portfolio…
Added 9 hours ago
Software Sales Senior Manager - Accenture Billing and Payments Engine
Accenture LLP Company
NY
As Senior Manager, Software Sales you are a high-energy individual contributor focused on originating and advancing qualified software opportunities within an assigned territory and product…
Added 9 hours ago
Software Product Management Pre Sales Senior Manager - ALIP
Accenture LLP Company
NY
As Senior Manager, Pre-Sales you support complex software sales cycles by delivering compelling product demonstrations, responding to technical and functional requirements, and building…
Added 9 hours ago
VD
Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
As a Senior AI/ML Engineer - AI Live Operations, you will apply your advanced technical expertise in data science, system orchestration, and software engineering to maintain the stability,…
Added 9 hours ago
A
Senior Data Analytics and BI Manager
Amneal
Bridgewater, NJ
- $160,000 to $190,000 USD / year
Evaluate emerging technologies, including artificial intelligence and machine learning solutions, and provide expert recommendations regarding the adoption, integration, and investment in…
Added 10 hours ago
Senior Analyst, Client Analytics
Invesco Distributors Inc.
Atlanta, GA
Coursework, certifications, or demonstrated experience in analytics, database management, data visualization, data engineering, machine learning, or financial markets is preferred
Added 10 hours ago
Engineering Manager, Integrity and Attestation
Anthropic
San Francisco, CA · Seattle, WA
We are hiring an Engineering Manager to lead this team. Anthropic is bringing up new compute quickly, across new hardware platforms and new partners, and each one has to meet the same bar.…
Added 11 hours ago
Data Scientist II
Truist Bank
Atlanta, GA
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of…
Added 11 hours ago
Senior Manager, Digital Product Management
Charles Schwab Inc.
Westlake, TX · Austin, TX · Orlando, FL · Lone Tree, CO
As a Senior Manager, Digital Product Management, you will lead shared digital capabilities that connect representative and client communication channels with the platforms used by Schwab's…
Added 11 hours ago
Quantitative Analyst – Quant Analyst Program
Millennium
New York
…with Millennium's portfolios at the Firm-wide and Portfolio Manager levels, with a focus on the market, credit and liquidity risks the Firm faces in the course of its business. At the…
Added 11 hours ago
Senior Production Insurance AI Evaluation Specialist
JDA TSG
United States
…because we know our people are our true differentiator. As a Senior Production Insurance AI Evaluation Specialist, you will run an expert quality review function for active AI agents…
Added 11 hours ago
1
Finance Systems Analyst - Integrations and Automation
1Password
Remote, United States
- $83,000 to $116,000 USD / year
…across core financial applications. You’ll work closely with senior Finance Systems team members to keep financial platforms communicating reliably, ensure automations run as expected, and…
Added 11 hours ago
Technical Product Owner-Vice President (Corporate Technology, Document Platform)
JPMC page
Jersey City, NJ · Wilmington, DE
You will collaborate with engineering, architecture, design, data, controls, operations, and business teams to turn customer needs into simple, scalable, resilient, and intuitive products.…
Added 11 hours ago
Java Backend & Microservices Applications Development Manager, Vice President
Citigroup
Irving, TX
…scalable and resilient backend systems, and work closely with data scientists to integrate machine learning models that deliver unparalleled value to our…
Added 12 hours ago
TT
Senior Product Manager, Staffing and AI Agents
True Talent Solutions Partners
San Francisco, CA
- $150,000 to $250,000 USD / year
- Write detailed product requirements and work closely with engineering and machine learning teams to deliver products.
Added 12 hours ago
Manager, Data Science, Payments & Subscriptions
PlayStation Global
San Diego, CA
We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop…

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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