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Added 3 mins ago
Motorsport Software and Data Analytics Graduate Intern
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Added 4 mins ago
Director, State Operations
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…future. We lead with care , and safety is non‑negotiable and embedded into every role, site and decision , ensuring our teams return home safe, every…
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Teacher - CTE - Computer Science
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Added 17 mins ago
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Strategic Operations Manager
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…of values-driven, trauma-informed, anti-racist, and equity-embedded systems, processes and practices that shape how the division functions. You will collaborate closely with executive…
Added 19 mins ago
Senior AI Engineer
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Added 23 mins ago
Inside Sales Representative
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Added 23 mins ago
Manager, AI/ML Engineering
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Auburn Hills, MI
Automotive, industrial, IoT, or other regulated/embedded-adjacent domain experience; time-series or vehicle data a plus.
Added 35 mins ago
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Manager, Business Planning
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United States
- $123,000 to $153,000 USD / year
The position operates under the guidance of the Corporate Planning Department while remaining embedded with the Business Unit. The role requires close collaboration across finance,…
Added 37 mins ago
Mechanical Design Engineer
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Exposure to LiDAR, cameras, GPS, IMUs, or embedded computing hardware.
Added 37 mins ago
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Electrical Design Engineer
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- $140,000 to $160,000 USD / year
Work on hardware integration involving LiDAR, cameras, IMUs, GNSS, and embedded computing platforms.
Added 40 mins ago
Senior Data Scientist - GenAI
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Added 43 mins ago
Principal Power Electronics Engineer Fuel Cell Systems
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Technical Manager - Software Engineering
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Lead an embedded software team to meet customer requirements within allocated cost/scope/schedule commitments.
Added 44 mins ago
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Program Manager II, AI Transformation, Core
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Manage technical milestones, integration and testing for learning agents embedded inside Google developer tools and workflow surfaces.
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Corporate Vice President, Protection Powered Growth (PPG) Planning Tools
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Partner with Actuarial and quantitative teams to validate the accuracy, soundness, and defensibility of planning models embedded in the product.
Added 47 mins ago
Senior CNO Developer
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MANTECH seeks a motivated, career and customer-oriented Senior CNO Developer to join our team in Annapolis Junction, MD. This is an onsite position.
Added 49 mins ago
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Ensure patient-centricity is embedded in regulatory strategy
Added 50 mins ago
Staff Software Engineer (Masters)
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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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