Senior ML Software Engineer - Apple Watch

Apple Inc.; Northern (KY); Hybrid; USD 175,000 - 309,000; Full time

Benefits offered by this job

Stock programs

Education reimbursement

Medical coverage

Job summary

Apple Watch team is seeking a versatile Senior ML Software Engineer to help deliver features like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. You will collaborate with designers, ML engineers, and software experts to turn loosely defined ideas into real sensing experiences for Apple Watch users.

In this hybrid role, you’ll train models, prototype on-device, and productize at scale to reach millions of Apple Watch users worldwide.

Qualifications

• Advanced degree in ML/CS or related field
• Strong ML methods knowledge and time-series analysis
• Proficient Python with production-quality code
• Experience with PyTorch or TensorFlow
• Experience on Apple platforms and large-scale systems

Responsibilities

• Develop and optimize ML algorithms leveraging multimodal sensor data such as motion and audio to detect activities and contexts
• Deploy ML models on-device with power-efficient frameworks
• Drive research ideas into high-impact, user-facing features
• Design tools and analytics to validate algorithm performance offline and on-device

Skills

Python

Deep learning

PyTorch

TensorFlow

Swift/Obj‑C

System design

Education

Master/PhD in ML/CS

Tools

Xcode

Job description

Senior ML Software Engineer - Apple Watch

Seattle, Washington, United States Software and Services

Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future!

Description

The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines — from training advanced models to rapid on-device prototyping and full-scale productization. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:

Responsibilities

• Develop and optimize ML algorithms leveraging multimodal sensor data — like motion and audio — to detect user activities and contextual situations that enhance our understanding of real-world behavior
• Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
• Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
• Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device

Minimum Qualifications

• M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
• Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
• Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
• Experience with Swift or Objective-C and developing on Apple platforms
• Experience architecting large scale systems

Preferred Qualifications

• You collaborate effectively with cross-functional partners
• You have a deep commitment to product quality and interest in building consumer applications
• Excellent communication and collaboration skills, with ability to work independently or in small teams

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 $175,000 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.

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.

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Apple accepts applications to this posting on an ongoing basis.