Senior Applied Scientist

Senior Applied Scientist

This job is no longer open

About the role:

The Samsara ML/CV team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Applied Scientist, you will be a tech leader and key contributor in building scalable ML infrastructure and tools. You will work closely with scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.

This role can be office-based or fully remote in the US and Canada.

In this role, you will: 

  • Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems 
  • Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
  • Research, adapt, and apply cutting edge techniques in CV and deep learning
  • Optimize models for inference on the backend and/or on edge devices
  • Partner with our hardware teams to design devices for optimal performance and cost
  • Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

  • BS or MS in Computer Science or other technical degree
  • 4+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
  • Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python) 
  • Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
  • Experience deploying and iteratively refining models using customer feedback loops
  • Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

  • Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
  • Experience building, deploying, and optimizing ML models on the edge
  • Experience building computer vision features
  • Expertise optimizing distributed model training with GPUs
This job is no longer open
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