Senior ML Software Engineer - Apple Watch
Job description
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 App*** to create high-impact features and new ways to interact on App*** 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 App*** Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across App*** 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 App*** 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 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 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 App*** platforms Experience architecting large scale systems Pay & Benefits At App***, 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. App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs. App*** employees are eligible for discretionary restricted stock unit awards, and can purchase App*** stock at a discount if voluntarily participating in App***'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 App***, 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 App*** Benefits Note: App*** benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.