Senior Level Director of Machine Learning Jobs
Senior level director of machine learning jobs place experienced leaders in charge of ML strategy, model development roadmaps, and the cross-functional teams that deliver production systems at scale. Opportunities concentrate across Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, with a mix of on-site, remote, and hybrid roles available, and employers like Unity Technologies, Plaid, and Apple hiring at this level now.
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Showing 5 of 147+ Senior Level Director of Machine Learning jobs
SUMMARY
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology?
DESCRIPTION
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
MINIMUM QUALIFICATIONS
- B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
- Strong experience in Python.
- Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
PREFERRED QUALIFICATIONS
- M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
- Working experience in C++ or Swift.
- Excellent math skills, including linear algebra, computational science and optimization.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
- An interest in incubating ideas and taking them to finish.
- Experience with iOS/macOS development.
- Experience shipping algorithms or publishing in top tier CVML conferences.
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful. Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection. Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily. Are you prepared to make a lasting impact on the future of technology?
DESCRIPTION
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users. In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models. Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
MINIMUM QUALIFICATIONS
- B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
- Strong experience in Python.
- Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
PREFERRED QUALIFICATIONS
- M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
- Working experience in C++ or Swift.
- Excellent math skills, including linear algebra, computational science and optimization.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
- An interest in incubating ideas and taking them to finish.
- Experience with iOS/macOS development.
- Experience shipping algorithms or publishing in top tier CVML conferences.
COMPENSATION
- Base pay range for this role is between $184,700 and $324,800, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
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Senior Level Director of Machine Learning Jobs: Frequently Asked Questions
How do I get a senior level director of machine learning job?
Employers at this level look for candidates who have led ML teams through full production cycles, not just research or prototyping. A strong portfolio demonstrates shipped models with measurable business impact, experience defining ML infrastructure and tooling strategy, and a history of developing other ML practitioners. Executive communication skills and cross-functional influence matter as much as technical depth at the director level.
Which companies hire senior level director of machine learnings?
Companies hiring senior level director of machine learnings right now include Unity Technologies, Plaid, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including technology companies, financial services firms, and enterprise businesses undergoing AI-driven transformation.
Are there remote senior level director of machine learning jobs?
Yes, though availability varies by employer and industry. About 36% of senior level director of machine learning openings are remote or hybrid as of November 2026, reflecting strong demand for experienced ML leaders who can operate effectively across distributed teams. On-site roles tend to cluster at companies building proprietary infrastructure or handling sensitive data.
What makes a director of machine learning role senior level?
Senior level director of machine learning roles are distinguished by scope and ownership. These positions carry accountability for the ML function itself, including hiring, roadmap, and architectural decisions, rather than executing within someone else's framework. They require guiding junior and mid-level practitioners, aligning ML strategy with business objectives, and making trade-offs that affect multiple teams or product lines.
Which industries hire the most senior level director of machine learnings?
Senior Level director of machine learning roles concentrate in Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in predictive modeling, automation, and data-driven decision systems that require experienced ML leadership to build and scale responsibly.