Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer jobs are open across technology, financial services, healthcare, and autonomous systems, from senior to principal and distinguished levels, with specializations in large-scale model training, MLOps infrastructure, and applied NLP or computer vision. 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.
Sr Staff Machine Learning Engineer Jobs by Experience Level
Top Cities Hiring Sr Staff Machine Learning Engineers
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Find JobsSr Staff Machine Learning Engineer Job Market
Who's Hiring
- Apple20
- GEICO13
- Waymo12
- General Motors11
- Scale AI10
Top Industries Hiring
- Technology & Software89
- Electronics & Hardware28
- Automotive17
- Banking & Financial Services15
- Artificial Intelligence14
What Employers Look For
The qualifications that appear most often in sr staff machine learning engineer jobs.
- PhD or Master's degree in computer science, statistics, or a closely related field
- 8 or more years of industry experience building and shipping production machine learning systems
- Deep expertise in distributed training frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and operating large-scale ML infrastructure including feature stores and model serving
- Demonstrated technical leadership across cross-functional teams including research, engineering, and product
- Proficiency in MLOps tooling including experiment tracking, model registries, and CI/CD pipelines for ML
Tips for Your Sr Staff Machine Learning Engineer Job Search
Quantify model impact on your resume
Hiring committees at this level want to see the business outcome, not just the architecture. Replace generic bullets with metrics tied to latency reduction, revenue lift, or compute cost savings your models delivered at scale.
Showcase cross-functional technical leadership
Sr staff roles require you to drive decisions across research, product, and platform teams. Your resume and cover letter should name specific initiatives where you set the technical direction and influenced headcount or roadmap prioritization.
Filter openings by stack before applying
Job descriptions at this level vary widely between PyTorch-heavy research shops and TensorFlow-plus-Vertex production environments. Match your depth in distributed training frameworks, feature stores, and serving infrastructure to what each listing explicitly calls out.
Apply early to roles that fit
Migrate Mate lists sr staff machine learning engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
Expect a multi-hour design loop where you architect an end-to-end ML system under real constraints. Practice explaining your tradeoff reasoning aloud, especially around data pipelines, model versioning, and online versus offline inference decisions.
Negotiate scope and resources alongside compensation
At the sr staff level, your offer negotiation should include compute budget, team size, and reporting structure. Clarify whether the role owns a platform team or embeds in product, since that distinction shapes your long-term influence and career trajectory.
Sr Staff Machine Learning Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most sr staff machine learning engineers?
The companies hiring the most sr staff machine learning engineers right now include Apple, GEICO, and Waymo, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in companies scaling foundation models, autonomous systems, and enterprise AI platforms.
How many sr staff machine learning engineer jobs are remote?
About 61% of sr staff machine learning engineer openings are fully remote or hybrid as of August 2026, reflecting strong employer flexibility at this seniority level. Roles focused on applied NLP, recommendation systems, and MLOps infrastructure tend to offer the highest share of remote arrangements, while positions tied to robotics or on-device inference more often require on-site presence.
How do you become a sr staff machine learning engineer?
Reaching the sr staff level typically requires building a record of end-to-end ML system ownership, moving from implementing models to designing the infrastructure and processes that support them at scale. You need demonstrated influence beyond your immediate team, such as setting technical standards, mentoring staff engineers, or driving org-wide architectural decisions. A graduate degree accelerates the path but sustained production impact matters more.
Can you get hired as a sr staff machine learning engineer with little experience?
Direct placement into a sr staff role without substantial experience is uncommon, but candidates from adjacent paths can be competitive. A strong open-source contribution record on widely used ML frameworks, published research with measurable adoption, or leadership of a high-visibility ML platform at a smaller company can substitute for years of traditional industry tenure when the technical depth is evident.
What does the sr staff machine learning engineer interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering ML fundamentals and past system design decisions, and a multi-day on-site or virtual loop. The loop usually combines a large-scale ML system design session, a coding round focused on data manipulation and model evaluation, a research or paper discussion, and a leadership interview assessing cross-functional influence and how you handle technical disagreements with senior stakeholders.
Where can I find and apply to sr staff machine learning engineer jobs?
You can find and apply to sr staff machine learning engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 312+ Sr Staff Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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