Applied Sensing & Health, Embedded Systems Engineer, Sensing & Connectivity

San Diego, CA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Sensors
  • Scientific Research
  • Research
  • Product Development
  • iPhone
  • Continuous Improvement
  • C
  • C++
  • Objective-C
  • Swift
  • Shipping
  • Debugging
  • Algorithms
  • Embedded Systems
  • Computer Science
  • Machine Learning (ML)
  • Deep Learning
  • Generative Artificial Intelligence (AI)
  • Time Series
  • Communication

Summary

The Applied Sensing & Health team develops software that powers the next generation of fitness, safety, and health experiences. We transform complex, multi-modal sensor data from the iPhone, Apple Watch, and AirPods into meaningful and elegant insights about our users' health, wellbeing, and safety. By combining advanced machine learning-including the integration and tuning of foundation models-with domain knowledge and scientific research, we have delivered impactful features like Cardio Fitness, Journaling Suggestions, Fall and Crash Detection, and Walking Steadiness. As a dynamic and highly multi-disciplinary team working at the intersection of research and product development, you will have the opportunity to build the next generation of sensing-based features that will motivate, inform, and inspire millions of Apple's customers every single day.

You will help ship high-quality, interactive Health, Fitness, and Safety features that impact millions of Apple Watch, iPhone, and AirPods users. You have a deep sense of ownership and feel a personal stake in the products you ship. You are comfortable navigating ambiguity in early-stage development, demonstrate initiative, and work well under tight deadlines. You build strong, collaborative relationships with others and are dedicated to a culture of continuous improvement for yourself, your team, and our products.

Bachelor's in Computer Science, EECS, or equivalent experience.\nDeveloped C/C++, ObjC or Swift code for a shipping product or a peer reviewed environment.\nBackground in developing, debugging and optimizing algorithms for low-power embedded systems

Masters or PhD in Computer Science, EECS, machine-learning or equivalent experience.\n2+ years of technical experience in an industry setting \nBackground in developing deep learning, foundation, and/or generative AI models for multiple data modalities (time series, images, language, etc.)\nExperience collaborating in small teams \nExcellent interpersonal skills and communication (written and verbal)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 59f0d403629b4b46cf33ee34a8850761
  • Posted 4 hours ago
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