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Description
Your work will span from low-level systems programming to ML model implementation to deep data analysis—sometimes building sophisticated algorithms, sometimes crafting the critical infrastructure that makes everything work reliably at Apple's scale. You'll collaborate closely with ML engineers, scientists, and multi-disciplinary teams across the company, working throughout the entire software lifecycle to deliver best-in-class, performant, and reliable systems that impact millions of users daily..
Minimum Qualifications
MS or Ph.D. preferred in Computer Science, Electrical Engineering, or related field, plus 3+ years of software engineering experience with exposure to both systems programming and ML/data analysis domains. Strong proficiency in C++ or Objective-C/Swift development and debugging, with extensive experience in complex, multi-threaded and concurrent systems, including synchronization and debugging advanced threading issues. Working knowledge of Python for ML model development, data analysis, and prototyping. Solid understanding of ML pipelines, model implementation, and translating research prototypes into production code. Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies. Comfort with data analysis and visualization, deriving actionable insights from sensor data.
Preferred Qualifications
A demonstrated passion for health and fitness, driven to empower users to live healthier, more active lives through technology. Exceptional collaboration and communication skills, adept at driving cross-functional initiatives. A proactive, inquisitive problem-solver who thrives on tackling complex challenges and delivering innovative solutions. Demonstrated ability to consistently achieve results in dynamic and challenging environments.
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