About the role:

The Samsara AI 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 Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other 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

Lead org-wide initiatives on science, testing, and data-driven decision making

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 quantitative field (e.g., Applied Math, Statistics)

8+ years experience as a Data Scientist, Machine Learning Engineer, or similar role

Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language

Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions

Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge

Experience coaching and mentoring more junior scientists

An ideal candidate also has:

PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)

Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)

Record of successful mentoring and development of junior team members

Experience working with large datasets using distributed computing (e.g., Spark, Hive)

$65,000 — $120,000/year