Lead Machine Learning engineer

Added: 5/16/2022

REF: 22323

Contract: Permanent

Location: Burlinggame, California, United States

About us

We are a Google Ventures backed Series A start up focused on tackling the obesity epidemic using AI. We use a continuous glucose monitor to power data-driven weight loss by translating your metobolic signals into recommendations for eating, exercise, and overall better health habits. 

Responsibilities

Be part of our ML team that builds end-to-end machine learning pipelines using deep learning as well as traditional statistical learning techniques.

  • Analyze, process, validate complex data sets from multiple sources such as continuous glucose monitors (CGM), wearable devices, exercise equipment sources
  • Understand and interpret trends and patterns in the data
  • Lead and/or contribute to ML applications in Time Series, Structured Data, Natural Language processing, or Computer Vision
  • Build robust, scalable MLOps platforms using Amazon SageMaker
  • Report directly to Head of ML 

Job requirements

  • 3+ years of experience in building ML models
  • Proficiency in data structures, algorithms, and Python
  • Proficiency in TensorFlow and/or PyTorch
  • Experience with cloud platforms and ML tools: AWS/GCP, Amazon SageMaker
  • Bachelor’s/Master’s degree in Computer Science, Mathematics, or a related quantitative field

 

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