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 ...
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 ...
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 ...
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 ...
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Quick apply
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Principal Product Manager - AI/ML
Arlington, VA · On-site +1
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Principal Product Manager - AI/ML
Arlington, VA · On-site +1
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Quick apply
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Quick apply
As the AI/ML Product Manager, you will own the AI/ML roadmap and therefore be accountable for identifying opportunities where artificial intelligence and machine learning can deliver meaningful value ...
Engineering Manager, ML Platform
Boston, MA · On-site
$150 - $200/hr
You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage ...
New
Engineering Manager, ML Platform
Boston, MA · On-site
$150 - $200/hr
You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage ...
New
AI/ML Engineering Manager
Milpitas, CA · On-site
$170K - $210K/yr
As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...
AI/ML Engineering Manager
Milpitas, CA · On-site
$170K - $210K/yr
As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...
AI/ML Engineering Manager
Milpitas, CA · On-site
$170K - $210K/yr
As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...
AI/ML Engineering Manager
Milpitas, CA · On-site
$170K - $210K/yr
As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage ...
Engagement Manager
Manhattan, NY · On-site
$150 - $200/hr
Model ML is the AI workflow builder transforming how major financial institutions produce and ... The engagement manager oversees client relationships and ensures the successful delivery of ...
Engagement Manager
Manhattan, NY · On-site
$150 - $200/hr
Model ML is the AI workflow builder transforming how major financial institutions produce and ... The engagement manager oversees client relationships and ensures the successful delivery of ...
WI · On-site
$200 - $250/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
WI · On-site
$200 - $250/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
CV/ML Engineering Manager
Austin, TX · On-site
$150 - $200/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
CV/ML Engineering Manager
Austin, TX · On-site
$150 - $200/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
$200 - $250/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
$200 - $250/hr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this ...
About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this ...
Product Manager - AI/ML
Fremont, CA · On-site
$150 - $200/hr
Required Skills & Experience * 5+ years of experience in product management , preferably in AI/ML-driven software environments. * Proven track record of delivering successful AI/ML or intelligent ...
Product Manager - AI/ML
Fremont, CA · On-site
$150 - $200/hr
Required Skills & Experience * 5+ years of experience in product management , preferably in AI/ML-driven software environments. * Proven track record of delivering successful AI/ML or intelligent ...
Engineering Manager, ML Performance
Sunnyvale, CA · On-site
$250/hr
... management or team leadership role. * Experience with ML performance analysis, benchmarking, and computer architecture. Preferred Qualifications * Master's degree or PhD in Engineering, Computer ...
Engineering Manager, ML Performance
Sunnyvale, CA · On-site
$250/hr
... management or team leadership role. * Experience with ML performance analysis, benchmarking, and computer architecture. Preferred Qualifications * Master's degree or PhD in Engineering, Computer ...
CV/ML Engineering Manager
Austin, TX · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
Quick apply
CV/ML Engineering Manager
Austin, TX · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
Engineering Manager, Eval & ML Datasets
Mountain View, CA · On-site
$200 - $250/hr
We need an experienced, technically hands‑on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new ...
New
Engineering Manager, Eval & ML Datasets
Mountain View, CA · On-site
$200 - $250/hr
We need an experienced, technically hands‑on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new ...
New
CV/ML Engineering Manager
Austin, TX · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
CV/ML Engineering Manager
Austin, TX · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
CV/ML Engineering Manager
Mountain View, CA · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
Quick apply
CV/ML Engineering Manager
Mountain View, CA · On-site
$180K - $300K/yr
Manage and grow a CV/ML team: lead the existing engineers, hire across levels from Junior through Senior Staff, and develop your engineers' careers and technical skills. * Partner with Chief ...
Ml Manager information
See salary details
$23K - $30.2K
4% of jobs
$30.2K - $37.5K
10% of jobs
$43.3K is the 25th percentile. Wages below this are outliers.
$37.5K - $44.7K
14% of jobs
$44.7K - $51.9K
16% of jobs
The median wage is $58.1K / yr.
$51.9K - $59.1K
7% of jobs
$59.1K - $66.4K
10% of jobs
$70K is the 75th percentile. Wages above this are outliers.
$66.4K - $73.6K
29% of jobs
$73.6K - $80.8K
4% of jobs
$80.8K - $88K
3% of jobs
$88K - $95.3K
1% of jobs
$95.3K - $102.5K
2% of jobs
$23K
$61.4K
$102.5K
How much do ml manager jobs pay per year?
As of Sep 9, 2026, the average yearly pay for ml manager in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Ml Manager jobs?
Cities with the most Ml Manager job openings:
What states have the most Ml Manager jobs?
States with the most job openings for Ml Manager jobs include:
What are popular job titles related to Ml Manager jobs?
For Ml Manager jobs, the most frequently searched job titles are:
Manager, AI/ML Engineering
Auburn Hills, MI • On-site
Stellantis •
IT Services
Full-time
Posted 5 days ago
Stellantis rating
7.5
Based on 131 frontline employees who took The Breakroom Quiz
13th of 45 rated automakers
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:
Basic Qualifications:
Preferred Qualifications:
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 a 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 8 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.
What Stellantis employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Stellantis
Sourced by ZipRecruiter