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Added 6 mins ago
Robotics Platform Architect
Irving, TX
Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in Physical AI, simulation, sensing, and edge computing are turning things that…
Added 25 mins ago
Manager, AI/ML Engineering
Stellantis
Auburn Hills, MI
…the engineers around you. The role is engineering-first - you lead by building - and balances a team rooted in data science and ML with strong software and solution-delivery depth. The team…
Added 28 mins ago
Lead Software Engineer Java Spring Boot
JPMC page
Wilmington, DE
As a Lead Software Engineer Java Spring Boot at JPMorgan Chase within the Corporate Technology you are an integral part of an agile team that works to enhance, build, and deliver trusted…
Added 34 mins ago
PI
Senior Principal Machine Learning Scientist
Pfizer Inc
WA · CA · MA · CT · NY
- $139,100 to $231,900 USD / year
…frameworks, and research workflows that directly influence how AI is applied across Pfizer's R&D organization. You'll build the models, and you'll also decide whether they create real…
Added 36 mins ago
Senior / Staff Software Engineer
Rockstar
New York, NY
This is a hands-on senior individual-contributor role at the intersection of applied AI, product, and distributed systems. The role holder will take ambiguous customer problems and complex…
Added 42 mins ago
Senior Data Scientist - GenAI
CVS Health
Remote, United States
…across the enterprise. This position combines deep expertise in applied data science, machine learning, information retrieval, and Generative AI with strong software engineering…
Added 44 mins ago
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Transit Management Analyst Series
MTA
Brooklyn, NY
- From $115,252 USD / year
All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal.
Added 44 mins ago
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Transit Management Analyst Series – Division Operations
MTA
Brooklyn, NY
- From $101,379 USD / year
All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal.
Added 44 mins ago
Process Engineer, III New College Grad (Doctorate) Albany, NY
Applied Materials
Albany, NY
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 45 mins ago
Google Workspace Customer Engineer, Mid-Market Enterprise, Google Cloud
Google
New York, NY
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Added 45 mins ago
Research Engineer , Quick Science
Amazon
New York, NY
…enterprise systems. As a key member of this team, you will lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning,…
Added 45 mins ago
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Vice President, Forward Deployed Engineering
American Express
New York, NY
- $219,000 to $338,250 USD / year
We are seeking an exceptional Vice President to build and lead our Forward Deployed Engineering organization, accelerating adoption of our Agentic AI Platform and delivering transformative…
Added 45 mins ago
Asst DirApplied AI Engineer
Moody's Analytics
NEW YORK, NY
…candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and…
Added 45 mins ago
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Director, Support Planning, Bus Service Planning
MTA
New York, NY
- From $101,379 USD / year
All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal.
Added 45 mins ago
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System Safety Specialist Series
MTA
New York, NY
- From $101,379 USD / year
All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal.
Added 45 mins ago
Program Manager II, AI Transformation, Core
Google
New York, NY
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Added 58 mins ago
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Flight Dynamics Engineer/Senior Flight Dynamics Engineer
The Aerospace Corpor
Colorado Springs, CO
- $129,000 to $249,600 USD / year
Bachelor's degree in aeronautical/astronautical engineering, physics or applied mathematics, or related disciplines
Added 58 mins ago
TA
Senior Cyber Mission Engineer
The Aerospace Corpor
Aurora, CO
- $166,400 to $249,600 USD / year
…These collaborative teams leverage hands-on prototyping and applied R&D to support customer concepts, software architecture and development, and integration of the latest digital technology…
Added 1 hour ago
Staff Software Engineer, Infrastructure
Google
Sunnyvale, CA
…specification author in CNCF, AI/agent foundations, or adopted developer tools) and comfort operating in fast-moving spaces between applied research and production…
Added 1 hour ago
Land Development Manager II, Data Centers
Google
Thornton, CO
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Added 1 hour ago
Senior Manager, Safety AI
Samsara
Remote, United States
Lead and grow a team of applied scientists and engineers across CV, sensor fusion, edge ML, maintaining a culture of high technical standards and strong delivery.
Added 2 hours ago
Principal Counsel, Product & Commercial
Pax8, Inc
Remote, United States
Lead sophisticated technology transactions, creating practical routes through complex negotiations while balancing opportunity, pace and risk.
Added 3 hours ago
Consulting Architect
Mirantis
Remote, United States
…platform engineering teams to deliver composable, production-ready developer platforms across any environment - on-premises, in the cloud, at the edge, or in sovereign data centers. As…
Added 4 hours ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
As a lead on this team, you will develop edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. Your work will span multiple layers of the stack…
Added 4 hours ago
E T Consultant (EC1)
World Bank Group
Washington, DC

Stellantis

Manager, AI/ML Engineering

Auburn Hills, MI, United States

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Job details

Posting language: English

Original job description

Role Summary:

The Manager of AI/ML Engineering - North America leads a team of AI/ML engineers and delivers alongside them. This is a deliberate player-coach role: you manage, coach, and grow the team and stay hands-on - personally designing, building, and shipping complete production AI/ML solutions, including the user touchpoints and applications on top of them.

You are the delivery anchor for this team: you own the team's commitments and their production health, take the hardest solutions yourself, set the technical bar, and raise the craft of the engineers around you. The role is engineering-first - you lead by building - and balances a team rooted in data science and ML with strong software and solution-delivery depth. The team operates in a global environment and there is functional interaction across regions.

How We Operate:

Our products are owned end-to-end by engineering - from design through production and into maintain-and-optimize. Direction, requirements, and priorities come through our program and product-management partners. This is a deliberate operating model: the role succeeds through strong delivery inside that partnership - shaping requirements, pushing back with evidence, and building trust - not through sole control of product direction. Leaders here own products and stay close to the work; this is not a pass-through people-management position - you are expected to contribute code and solutions directly.

Key Responsibilities:

Team leadership & growth
Lead and manage an AI/ML engineering team of engineers - day-to-day direction, coaching, performance, and career development. Some of these engineers may functionally work on programs outside your direct remit, and you will manage engineers that contribute to your programs from other regions.
Contribute to hiring: interview, raise the bar on engineering craft, and help grow the team through the active pipeline.
Develop engineers toward the full-stack AI/ML profile (data, modeling, services, application layers); mentor through code review and pairing.
Hands-on delivery (player-coach)
Personally own and ship hard solutions end-to-end - data pipelines, model/inference services, agentic/LLM components, APIs, and the user touchpoints (apps, dashboards) on top.
Spend a substantial share of your time building and reviewing code - you stay in the work, not just over it.
Design and implement ML models on structured, time-series, and unstructured data; own validation, evaluation, and error analysis on the team's deliverables.
Solution & product delivery -
Own the team's delivery of production AI/ML solutions and their production health end-to-end.
Set and enforce engineering standards - architecture, code review, testing, CI/CD.
Work closely with the dedicated MLOps team and hand off for production release and operation
Build to their readiness standards and gates and route production-driven code changes back through your team.
Cross-functional leadership
Partner with program and product-management teams on scope, priorities, and delivery commitments; communicate progress with evidence.
Operate within a global organization
Coordinate with functional leads and globally dispersed project teams
Build products with global platforms and standards.

Basic Qualifications:

Bachelor's degree in engineering, computer science, applied mathematics, or a related field, or related field.

• A minimum of 10 years in software engineering, including substantial hands-on solution development - services, APIs, and user-facing touchpoints/apps (front-end/full-stack) - and experience leading or coordinating a team of engineers.

• A track record of shipping and operating production software - you have owned systems in production, not just delivered projects - and you remain hands-on today.

• Practical experience delivering ML/AI-powered products.

• Strong Python and common ML libraries; ability to work across data, modeling, and software concerns.

• Cloud (AWS preferred) and modern data/ML platforms (e.g. Databricks/Spark).

Preferred Qualifications:

• Experience building agentic/LLM-based systems and adopting AI-assisted development tooling across a team.

• Automotive, industrial, IoT, or other regulated/embedded-adjacent domain experience; time-series or vehicle data a plus.

• Familiarity with MLOps concepts (CI/CD for ML, model registry, monitoring, retraining).

• Front-end/full-stack delivery experience (dashboards, internal tools, product UIs).

• A track record as a player-coach - leading a team while still contributing code.

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