Machine Learning Scientist - Health Sensing


Posted: Oct 25, 2019

Role Number: 200116886

Would you like to work in a fast-paced environment where your innovative ideas have a way of becoming high-quality products and user experiences quickly? Would you like to be a critical part of an engineering team building next-generation features to improve health using sensing technologies? Apple's Human Interface Devices team is looking for a Machine Learning Scientist with in-depth knowledge of machine learning/deep learning, and statistical signal processing along with strong programming skills. Bring passion and diversity to our team, and let us create useful and amazing things that do not yet exist.

Key Qualifications

  • Deep technical skills in statistical analysis, machine learning and scientific reasoning
  • Expertise and experience with computational modeling of human behavior
  • Ability to implement models using scripting languages (e.g. Python) and toolkits (e.g. scikit-learn)
  • Familiar with one or more learning frameworks such as PyTorch,TensorFlow
  • Experience with algorithm implementation in C/C++ is a plus
  • Hands-on experience with big data tools (e.g. MapReduce, Spark) is a plus
  • Experience with behavior sensing with wearable device is a plus


- Develop algorithms for extracting insight from sensor and health data and optimizing performance using deep learning and machine learning on big data resources - Collaborate with team members from prototyping to production - Analyze and improve efficiency and stability of algorithms deployed to user devices - Evaluate user impact

Education & Experience

PhD in an engineering/quantitative field or equivalent experience We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Additional Requirements

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