Samsara is hiring a
Computer Vision Engineer

Summary

Join Samsara's Machine Learning / Computer Vision team as a talented scientist to generate insights and draw value from rich customer interactions, and contribute to the development of end-to-end applications that power different product pillars at Samsara.

Requirements

• BS or MS in Computer Science or other technical degree with 3+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar role working on Computer Vision; or
• Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics) with 1+ years of experience working on Computer Vision
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python)
• Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
• Familiarity managing data processing and machine learning code via GitHub
• Excellent problem-solving skills and the ability to work alone and collaboratively

Responsibilities

• 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
• Optimize models for inference on the backend and/or on edge devices
• Partner with hardware and full-stack teams to deploy model for optimal performance and cost
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
• Collaborate with PM to translate customer needs to ML / CV solutions
• 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

Preferred Qualifications

• Experience implementing ML models on large datasets
• Experience building, deploying, and optimizing ML models on the edge
• Experience working with cross functional teams on a project

Benefits

• Competitive total compensation package
• Employee-led remote and flexible working
• Health benefits
• Samsara for Good charity fund