Senior Software Engineer, Applied ML - Watch Software

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple seeks a Senior Software Engineer to create ML-powered features for watchOS. You will design on-device ML pipelines, build Swift frameworks, and interface with sensors to deliver high-impact user experiences on Apple Watch.

You will work with a collaborative team across research and product to prototype, validate, and ship scalable ML-driven features, balancing performance, power, and usability.

Qualifications

• 5+ years of professional software development experience.
• Expertise using Swift to develop on Apple platforms.
• Familiarity with Python and numerical processing libraries (NumPy, Matplotlib, pandas) for time series analysis.
• Strong communication and collaboration skills, with the ability to work independently or in small teams.

Responsibilities

• Design, implement, and ship new ML-powered features on watchOS.
• Integrate and deploy ML models on-device, building Swift frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
• Profile and optimize code for the performance and power constraints unique to the Apple Watch.
• Implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
• Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features.

Skills

Swift

Python

Communication

Collaboration

Education

MS in CS/ML

BSc in related field

Tools

NumPy

Matplotlib

Pandas

Job description

Senior Software Engineer, Applied ML - Watch Software

Cupertino, California, 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 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 building scalable modeling pipelines to rapid on-device prototyping and full-scale productization.

Responsibilities

• Design, implement, and ship new ML-powered features on watchOS.
• Integrate and deploy ML models on-device, building Swift frameworks that encapsulate models, interface with sensors, and communicate with UX layers.
• Profile and optimize code for the performance and power constraints unique to the Apple Watch.
• Implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device.
• Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features.

Minimum Qualifications

• 5+ years of professional software development experience.
• Expertise using Swift to develop on Apple platforms.
• Familiarity with Python and numerical processing libraries (NumPy, Matplotlib, pandas) for time series analysis.
• Strong communication and collaboration skills, with the ability to work independently or in small teams.

Preferred Qualifications

• M.S. in Computer Science, Machine Learning, or a related field.
• Knowledge of machine learning methods and statistical analysis.
• Experience building scalable modeling pipelines for data processing, training, and evaluation.

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

Apple accepts applications to this posting on an ongoing basis.