Crowdsourced Sensing Data Scientist

This role is based in Cupertino, California.

Compensation:

$147,400 - $272,100/year

What you'll do:

Develop and evaluate statistical and ML-based algorithms using crowdsourced sensor data. Collaborate with engineering teams to prototype ideas and deliver production-quality code.

Responsibilities:

• Collaborate closely with hardware and software engineering teams.

Requirements:

• Graduate degree in Computer Science, Data Science, or equivalent experience.
• 5 years of experience in statistical inference and machine learning, PyTorch, TensorFlow.
• 3 years of experience handling noisy, heterogeneous, crowdsourced sensor data.

Preferred Qualifications:

• Experience with real-time data systems (Kafka, Spark, Flink).
• Experience with sensor networks, IoT systems, or mobile sensing.