Machine Learning Engineer: Multimodal Sensor Fusion

Apple Inc.; Sunnyvale (CA); On-site; USD 150,400 - 277,600; Full time

Benefits offered by this job

Employee stock plan

Medical and dental coverage

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Sunnyvale, California, seeks a Machine Learning Engineer to design and implement multimodal fusion algorithms for edge deployment, collaborating with hardware, software, and UX teams to deliver production‑ready models that delight users at scale.

The role emphasizes translating cutting‑edge research into scalable solutions, optimizing for on‑device inference, and driving best practices across the CVML team while shaping next‑generation products for millions of daily users.

Qualifications

• B.S. degree and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
• Experience in deep learning frameworks such as PyTorch.

Responsibilities

• Leading the development of cutting‑edge multimodal fusion algorithms and taking ideas from concept to shipping
• Driving cross‑functional collaboration to understand algorithmic constraints, dependencies, and technical trade‑offs
• Partnering with engineers and designers to architect proof‑of‑concepts and prototype novel hardware for innovative applications
• Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
• Establishing coding standards, best practices, and technical strategies for your team

Skills

Software engineering

Deep learning

Sensor fusion

PyTorch

Education

B.S. degree

Job description

Sunnyvale, California, United States Machine Learning and AI

At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily. Ready to make an impact?

Description

We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting‑edge research into production‑ready solutions that delight users at scale. In this role, you will collaborate closely with hardware, software, and user‑experience teams to develop world‑class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real‑time perception in resource‑constrained environments. Your work will span the full spectrum from evaluating breakthrough research to solving complex real‑world problems, architecting model‑efficiency strategies for on‑device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.

Responsibilities

• Leading the development of cutting‑edge multimodal fusion algorithms and taking ideas from concept to shipping
• Driving cross‑functional collaboration to understand algorithmic constraints, dependencies, and technical trade‑offs
• Partnering with engineers and designers to architect proof‑of‑concepts and prototype novel hardware for innovative applications
• Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
• Establishing coding standards, best practices, and technical strategies for your team

Minimum Qualifications

• B.S. and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
• Experience in deep learning frameworks such as PyTorch

Preferred Qualifications

• Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields.
• Excellent math skills, including linear algebra, computational science, and optimization
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Hands‑on experience working with sensors and hardware
• An interest in incubating ideas and taking them to finish
• Experience shipping algorithms or publishing in top‑tier AI/ML conferences

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become shareholders 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 reimbursement for formal education related to advancing your career at Apple, 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. Learn more about your EEO rights as an applicant.

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. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.