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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Apple • San Diego, California, United States
Role & seniority: Data Science/ML Engineer (BS/MS/PhD level) focused on health and fitness AI features; senior/experienced contributor on the Applied Sensing & Health team.
Stack/tools: Python and/or Matlab; time-series analysis, signal processing, sensor fusion, AI model validation; data analysis, visualization, and reporting; databases (SQL/NoSQL); AWS (S3) familiarity; test planning (hardware/software) is a plus.
Drive design data quality and algorithm performance for next-gen Health/Fitness features.
Evaluate large user study datasets, conduct design reviews, perform algorithm testing, and triage bugs.
validate AI models, craft benchmarks/evaluation protocols, and perform statistical analysis.
Strong programming in Python and/or Matlab.
Expertise in time-series analysis, signal processing, sensor fusion, statistics.
Experience with data analysis, visualization, reporting, and AI model validation.
Ability to design/execute benchmarks, evaluation protocols, and debug complex issues.
Experience building data pipelines for large-scale data processing.
Familiarity with SQL/NoSQL databases, querying, and AWS (S3) integration.
Hardware/software testing experience, test plan design/execution.
Detail-oriented, self-motivated, problem-solving mindset.
Location & work type: Location not specified; work type not specified. (Assume full-time role.)
The Applied Sensing & Health team has built innovative ways for users to improve their health, watch for their lives, and get personalized insights from their daily patterns through multimodal sensing and AI models. This team combines advanced machine learning, including integration, adaptation, and tuning of foundation models, with contextual sensing, bolstered by innovative study design, to derive user insights spanning health, fitness, and safety. This has enabled us to deliver meaningful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and our latest advances to bring our suite of Fitness metrics to AirPods Pro 3, delivering 50 workout types in a single year. We are a dynamic, collaborative group that works at the intersection of scientific research and product development. We develop science-backed designs of best-in-class AI/ML models that capture the multifactorial nature of human health and behavior, delivering insights straight to our customers. We promote innovation and new technology to further improve our creative output. We are seeking a tenacious and passionate person to join this amazing team. If you feel this is you, we'd love to hear from you.
DESCRIPTION
In this role, you will be highly involved in driving design data quality and algorithm performance to develop our next generation of Health and Fitness features. This includes evaluating large user study datasets, design reviews, algorithm testing, bug reporting and triaging.
MINIMUM QUALIFICATIONS
BS, MS, or PhD in Computer Science / Electrical Engineering / Mechanical
PREFERRED QUALIFICATIONS
Familiarity building data pipelines for large-scale data processing Experience working with databases (SQL/NoSQL), comfortable with query languages and designing tables, views, indices, familiarity with AWS services/API such as S3 is a plus Familiarity testing hardware and/or testing software (including designing, implementing and executing test plans) is a plus Detail-oriented, able to find bugs, investigate & debug issues, and drive solutions to difficult problems Excellent analytical and problem solving skills, self-motivated, laser-focused, and solution-oriented