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Added 9 mins ago
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Senior Staff Software Engineer, Backend (Compute Platform)
Affirm
Remote, United States
- $265,000 to $325,000 USD / year
The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads…
Added 13 mins ago
Sr Software Engineer
Comcast (CC) of Willow Grove
VA
As a Software Engineer 4, you lead the design, development, and delivery of scalable, high-impact software systems. You are recognized as a technical leader who drives architectural…
Added 14 mins ago
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Engineering Manager, Admin Experience
Horizon3
Remote, United States
- $225,000 to $265,000 USD / year
As the Manager of the Admin Experience engineering team, you’ll lead the backend work that helps NodeZero customers administer their organizations securely and with confidence. The team’s…
Added 17 mins ago
WD
Staff Software Engineer
Walt Disney Pictures
Glendale, CA
- $158,100 to $211,900 USD / year
Production experience with cloud platforms such as AWS, and container orchestration with Docker and Kubernetes.
Added 18 mins ago
Sr. MLOps Engineer
Robert Half
King of Prussia, PA
Proficiency with Python and practical experience in Kubernetes-based environments, PostgreSQL, and infrastructure or workflow automation tools.
Added 23 mins ago
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Messaging & Streaming Platform Engineer
Kforce
Round Rock, TX
- $45 to $58 USD / hour
Kforce is immediately seeking an experienced Messaging & Streaming Platform Engineer in support of our enterprise computer customer in Sandy Springs, GA. This role provides middleware…
Added 29 mins ago
Security Engineer II, Product & Platform Security
Nscale
NY
Help protect Nscale's cloud platforms, hyperscale GPU clusters, and production environments. As a Security Engineer II in our Product & Platform Security team, part of the CISO…
Added 29 mins ago
Senior Systems Engineer (CDP)
Govcio LLC
United States
Data Ecosystems: Prior production-level experience with the Confluent platform and Apache Kafka knowledge for enterprise data streaming.
Added 36 mins ago
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Senior Software Engineer, Core Infrastructure
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Partner with DNS data plane, security, networking, and SRE teams to deliver secure, end-to-end platform improvements.
Added 42 mins ago
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Staff Backend Engineer, Admin Experience
Horizon3
Remote, United States
- $230,000 to $270,000 USD / year
- Strong experience with distributed or multi-tenant systems, data modeling, SQL, and production reliability.
Added 46 mins ago
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Senior Software Engineer
Microsoft
WA · TX · Redmond, WA · Austin, TX · Redmond · Austin
- $119,800 to $261,000 USD / year
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 46 mins ago
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Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · San Francisco, CA · Mountain View, CA · Redmond · San Francisco · Mountain View
- $119,800 to $261,000 USD / year
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 48 mins ago
MT
Senior AI Platform Engineer
Modern Technology Solutions Inc
Springfield, VA · St. Louis, MO · Springfield · St. Louis
- $130,000 to $225,000 USD / year
The Senior AI Platform Engineer will also help develop an enterprise architecture digital twin, connecting UAF and SysML models with real-time and near-real-time operational data. These…
Added 56 mins ago
SRE - Compute (Linux, Kubernetes, Containers)
Virtasant
Remote, United States
This is a hands-on, engineering-level support role focused on helping internal developers adopt, debug, and succeed with the client’s internal compute platform. You’ll work at the…
Added 59 mins ago
RA
Senior Solutions Engineer
Refold AI
San Francisco, CA
- $100,000 to $120,000 USD / year
- Builder, not just a presenter: Hands-on with APIs and data integration, and fluent enough in Python and/or JavaScript/TypeScript to build a working prototype yourself over a weekend
Added 1 hour ago
DevOps Automation Test Engineer
Society of Actuaries Research Institute
Chicago, IL
Collaborate with the Manager, DevOps, and platform teams to validate Infrastructure as Code configurations.
Added 1 hour ago
Senior DevOps Engineer
Society of Actuaries Research Institute
SCHAUMBURG, IL
Working closely with DevOps, Salesforce, Digital, Cyber Security, and Product teams, you’ll advance Infrastructure as Code (IaC), CI/CD pipelines, observability, and AIOps practices. You’ll…
Added 1 hour ago
Senior Platform Engineer
EarnIn
Mountain View, CA
We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
Added 1 hour ago
Senior Platform Engineer
EarnIn
Mountain View, CA
We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
Added 1 hour ago
Quality Assurance Engineer
Booz Allen Hamilton_United States
Washington, DC
A Digital Twin is only as valuable as the trust users place in it. As a Quality Assurance Engineer, you'll help ensure that the applications, services, data pipelines, and simulations…
Added 1 hour ago
I
Data Engineer
InductiveHealth
Remote, United States
- $130,000 to $145,000 USD / year
As part of a collaborative, agile team, you'll work closely with data architects, integration engineers, data scientists, and product stakeholders to deliver solutions that directly impact…
Added 1 hour ago
Gen AI Senior Engineer
NTT Data Americas, Inc.
Charlotte, NC
NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,…
Added 1 hour ago
Associate Principal Engineer - Integration Solutions Architect (Hands-on)
Nagarro
Jersey City, NJ
This role supports a global banking client's Data Governance Tooling programme across the Americas Division and wider global regions. The programme provides change delivery and…
Added 1 hour ago
Applied AI Engineer
ERCOT
Taylor, TX
Bachelor's Degree: Computer Science, Data Science, Information Systems, Engineering, or related field (Required) or a combination of education and experience that provides equivalent…
Added 1 hour ago
Application Support Engineering Associate
DTCC Candidate Experience
Jersey City, NJ · Boston, MA
Experience with AWS or cloud-based environments.

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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