Senior ML Engineer Jobs
Senior ML Engineer jobs are open across tech, finance, healthcare, and defense, from mid-level to staff and principal, with specializations in NLP, computer vision, and recommendation systems. Find a role that fits from the openings below and apply directly.
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In a time where the news and book media landscapes are changing by the day, Apple News and
Apple Books stand as champions of quality content, expert curation, user privacy, and the
judicious use of machine learning.
Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates
as both engineers and people.
Would you like to work on such a team, solving hard problems in machine learning? Terrific!
Please join us for the next generation of these apps!
Description
Our team is seeking a high-energy and self-driven machine learning engineer who will play a
central role in the delivery of scalable services. The team uses machine learning to tackle
difficult and complicated problems in the news, books, and stocks domains, including text
extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a
member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming
products that will delight and encourage millions of Apple’s customers every day!","responsibilities":"Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
Develop datasets, design model architecture, and prompt, train, or fine-tune models.
Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.
Drive application features from concept, model design, and development all the way to delivery.
Lead highly cross-functional software projects.
Mentor junior engineers.
Be part of our thriving machine learning community at Apple.
Preferred Qualifications
Experience in a technical leadership role.
Ph.D. in Machine Learning, Computer Science, or related field.
Minimum Qualifications
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
At least 5 years of experience shipping machine learning models in products.
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
Experience designing user-facing machine learning features with interdisciplinary partners.
Experience with recommender systems.
Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
Experience delivering high quality software at scale.
Ability to communicate effectively and collaborate with partner teams.
Commitment to encouraging an open and inclusive work environment.
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 $205,400 and $308,500, 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.
In a time where the news and book media landscapes are changing by the day, Apple News and
Apple Books stand as champions of quality content, expert curation, user privacy, and the
judicious use of machine learning.
Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates
as both engineers and people.
Would you like to work on such a team, solving hard problems in machine learning? Terrific!
Please join us for the next generation of these apps!
Description
Our team is seeking a high-energy and self-driven machine learning engineer who will play a
central role in the delivery of scalable services. The team uses machine learning to tackle
difficult and complicated problems in the news, books, and stocks domains, including text
extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a
member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming
products that will delight and encourage millions of Apple’s customers every day!","responsibilities":"Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
Develop datasets, design model architecture, and prompt, train, or fine-tune models.
Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.
Drive application features from concept, model design, and development all the way to delivery.
Lead highly cross-functional software projects.
Mentor junior engineers.
Be part of our thriving machine learning community at Apple.
Preferred Qualifications
Experience in a technical leadership role.
Ph.D. in Machine Learning, Computer Science, or related field.
Minimum Qualifications
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
At least 5 years of experience shipping machine learning models in products.
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
Experience designing user-facing machine learning features with interdisciplinary partners.
Experience with recommender systems.
Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
Experience delivering high quality software at scale.
Ability to communicate effectively and collaborate with partner teams.
Commitment to encouraging an open and inclusive work environment.
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 $205,400 and $308,500, 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.
Senior ML Engineer Jobs by Experience Level
Top Cities Hiring Senior ML Engineers
Explore senior ML engineer openings in the cities hiring most right now.
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Find Senior ML Engineer JobsSenior ML Engineer Job Market
Who's Hiring
- Apple179
- JPMorganChase44
- GEICO38
- Amazon Web Services37
- Google29
Top Industries Hiring
- Technology & Software310
- Electronics & Hardware142
- Banking & Financial Services60
- Consulting & Professional Services55
- Insurance38
What Employers Look For
The qualifications that appear most often in senior ML engineer jobs.
- 5 or more years of hands-on machine learning engineering experience in production environments
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and deploying end-to-end ML pipelines at scale
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD for models
- Strong understanding of distributed computing and cloud platforms such as AWS, GCP, or Azure
- Graduate degree in computer science, statistics, or a related quantitative field preferred
Tips for Your Senior ML Engineer Job Search
Quantify model impact on your resume
Recruiters screening senior ml engineer resumes look past model architectures and want outcomes. Replace 'built a classification model' with the latency reduction, accuracy lift, or revenue impact it delivered. Numbers make your contributions defensible in technical screens.
Apply early to roles that fit
Migrate Mate lists senior ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions by deployment environment
Senior ML roles split hard between research-heavy and production-focused. Scan each posting for keywords like 'MLOps', 'model serving', or 'real-time inference' versus 'publications' or 'R&D'. Applying to the wrong side wastes your strongest talking points and theirs.
Prepare a project walkthrough before interviewing
Most senior ml engineer system design rounds ask you to walk through a real project end-to-end. Pick one where you made a consequential architecture decision, owned the tradeoffs, and can explain what you would do differently. Vague project summaries are the most common screen failure.
Negotiate scope before you negotiate compensation
At the senior level, the team size, GPU budget, and model ownership structure affect your actual work more than base pay does. Clarify those in the final round before discussing offer details so you can evaluate whether the role matches your growth goals.
Follow up with a technical observation after interviews
A follow-up email that references a specific technical problem from the interview, adds a detail you did not get to, or proposes an alternative approach signals engagement that generic thank-you notes do not. It also gives the hiring manager something concrete to share with the panel.
Senior ML Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior ml engineers?
The companies hiring the most senior ml engineers right now include Apple, JPMorganChase, and GEICO, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in companies with active model deployment needs rather than early-stage research programs.
How many senior ml engineer jobs are remote?
About 53% of senior ml engineer openings are fully remote or hybrid as of August 2026, making it one of the more remote-accessible senior engineering roles. Sub-areas with the highest remote share include NLP, ranking systems, and applied research, where most collaboration happens asynchronously through code and documentation.
How do you become a senior ml engineer?
Reaching the senior ml engineer level typically requires building and shipping production ML systems, not just research notebooks. Start by owning a model end-to-end at a current employer, from data pipeline to serving infrastructure. Then deepen your MLOps knowledge, contribute to system design decisions, and mentor junior teammates. Documented production impact in your portfolio moves you past resume screens faster than additional credentials.
Can you get a senior ml engineer job with limited experience?
Breaking into senior ml engineer roles with limited direct experience is difficult but possible through adjacent paths. Engineers with strong software engineering backgrounds who have shipped ML-adjacent systems, such as real-time feature stores or data pipelines, are often considered. Demonstrating ownership of a deployed model project, even from a side project or open-source contribution, matters more than years on a resume at many companies.
What does the senior ml engineer interview process look like?
Most senior ml engineer interview processes include a recruiter screen, a take-home or live coding round focused on ML fundamentals, a system design session covering model serving or training infrastructure at scale, and a behavioral round assessing cross-functional collaboration. Some companies also include a research or paper discussion round. The system design round carries the most weight at the senior level and is where most candidates differentiate themselves.
Where can I find and apply to senior ml engineer jobs?
You can find and apply to senior ml engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your background and apply directly to each listing without being redirected to separate employer portals.
See All 1,825+ Senior ML Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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