Machine Learning Manager Jobs
Machine Learning Manager jobs are open across technology, healthcare, financial services, and e-commerce, from senior individual contributor to director level, with specializations in natural language processing, computer vision, and applied research. Find a role that fits from the openings below and apply directly.
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Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence.
We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
Description
We are seeking an experienced Machine Learning Manager to lead a team of ML engineers focused on building new capabilities and delivering step-change quality improvements for our Visual Generation foundation models. The ideal candidate brings a proven blend of strategic thinking and product focus to solving deep technical research problems, specifically around driving data excellence for foundation model training. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.
In this role, you will work closely with cross-functional partners, including ML research, modeling, policy, and responsible AI teams, to maintain the highest standards of execution and safety. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem.
Minimum Qualifications
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M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience
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3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research
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Experience managing cross-functional projects, connecting initiatives to engineers' interests, and helping engineers grow through mentorship and empathy
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8+ years of experience training state-of-the-art generative or understanding models
-
Proficiency in ML frameworks and distributed data processing pipelines as a hands-on technical leader
-
Excellent communication skills and an ability to drive clarity in ambiguous circumstances
Preferred Qualifications
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Prior hands-on research experience working with data and building models
-
Recent projects and experience with modern visual generative AI for images or videos
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Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence.
We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
Description
We are seeking an experienced Machine Learning Manager to lead a team of ML engineers focused on building new capabilities and delivering step-change quality improvements for our Visual Generation foundation models. The ideal candidate brings a proven blend of strategic thinking and product focus to solving deep technical research problems, specifically around driving data excellence for foundation model training. Typical projects involve leveraging billion-scale datasets, applying machine learning models to enrich data, and executing quality-focused data curation strategies.
In this role, you will work closely with cross-functional partners, including ML research, modeling, policy, and responsible AI teams, to maintain the highest standards of execution and safety. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem.
Minimum Qualifications
-
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience
-
3+ years of experience as an ML Manager, leading teams through modern computer vision and generative AI research
-
Experience managing cross-functional projects, connecting initiatives to engineers' interests, and helping engineers grow through mentorship and empathy
-
8+ years of experience training state-of-the-art generative or understanding models
-
Proficiency in ML frameworks and distributed data processing pipelines as a hands-on technical leader
-
Excellent communication skills and an ability to drive clarity in ambiguous circumstances
Preferred Qualifications
-
Prior hands-on research experience working with data and building models
-
Recent projects and experience with modern visual generative AI for images or videos
-
Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Find Machine Learning Manager JobsMachine Learning Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple31
- Capital One28
- Google18
- Amazon14
- NVIDIA11
Top Industries Hiring
- Technology & Software140
- Electronics & Hardware37
- Banking & Financial Services36
- Consulting & Professional Services32
- Retail24
What Employers Look For
The qualifications that appear most often in machine learning manager jobs.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Machine Learning Manager Job Search
Quantify model impact on your resume
Machine learning manager resumes stall when they list tools instead of outcomes. Replace 'managed NLP models' with the latency reduction, accuracy lift, or revenue impact your team's models delivered. Hiring managers compare you on measurable results, not tech stacks.
Apply early to roles that fit
Migrate Mate lists machine learning manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by research versus product focus
A machine learning manager role at a research lab expects publications and grant experience, while a product-focused company wants shipped models and cross-functional delivery. Read job descriptions for phrases like 'production systems' or 'state of the art' to target your applications correctly.
Prepare a technical leadership narrative
Interviews will probe how you balance coding depth with people management. Prepare two or three stories where you made a concrete architectural decision, explained the trade-offs to non-technical stakeholders, and coached an engineer through a technical challenge.
Negotiate using scope, not just title
Before accepting an offer, clarify team size, compute budget, and roadmap ownership. A machine learning manager with a three-person team and no GPU budget has a different career trajectory than one owning a ten-person org. Scope shapes your next move more than title does.
Follow up with a technical insight
After a final-round interview, send a follow-up that references a specific problem from the conversation and proposes a brief framing or approach. It demonstrates the research and systems thinking that separates machine learning manager candidates from individual contributors.
Machine Learning Manager Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning managers?
The companies hiring the most machine learning managers right now include Apple, Capital One, and Google, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in companies with large-scale data infrastructure and active model deployment programs.
How many machine learning manager jobs are remote?
About 32% of machine learning manager openings are fully remote or hybrid as of June 2026, making it one of the more flexible senior technical roles available. Applied research and platform infrastructure sub-areas tend to have the highest share of fully remote positions, while roles tied to on-site hardware or real-time systems more often require in-person presence.
How do you become a machine learning manager?
Start by building a strong record as a machine learning engineer or research scientist, then take on informal leadership by mentoring junior teammates and owning a project end to end. Transition into a formal lead or tech lead role to gain people management exposure. Demonstrate business impact through shipped models, then make the case for a manager title with evidence of team development and cross-functional delivery.
Can you get a machine learning manager job without direct management experience?
Yes, many companies hire senior machine learning engineers into their first manager role when those engineers have led projects, mentored colleagues, and collaborated across teams. Framing your resume around influence, decision-making, and team outcomes rather than individual model work is what moves your application from the individual contributor pile into manager consideration.
What does the machine learning manager interview process look like?
The process typically opens with a recruiter screen covering background and role fit, followed by a technical interview that tests machine learning fundamentals and system design for production ML pipelines. A separate round focuses on people management scenarios and cross-functional communication. Final rounds often include a presentation to leadership covering a past project, a proposed roadmap, or a take-home case study on a relevant modeling problem.
Where can I find and apply to machine learning manager jobs?
You can find and apply to machine learning manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and experience level, then apply directly to each one that fits.
See All 403+ Machine Learning Manager Jobs
Jump back to the full list of openings and apply to any machine learning manager role that fits.
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