Senior Applied Scientist

Samsara

2d•$170,170 - $286,000•Remote

About The Position

The Samsara Machine Learning / Computer Vision team builds end-to-end applications to power different product pillars at Samsara. We are looking for a talented applied scientist to generate insights and draw value from rich customer interactions, as well as from the 2T+ data points our sensors and cameras collect on an annual basis. This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

Requirements

BS or MS in Computer Science or other technical degree with 5+ 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 3+ 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 with managing data processing and machine learning code via GitHub.
Excellent problem-solving skills and the ability to work alone and collaboratively.

Nice To Haves

Experience implementing ML models on large datasets 100K to 1M and more on the edge.
Experience building, deploying, and optimizing ML models on the edge.
Experience in state-of-the-art models for road segmentation, road object detection and tracking.
Experience working with cross-functional teams on a project.
Comfortable with full-stack/backend development code to build a strong understanding of underlying data structures and other dependencies.

Responsibilities

Build and improve the accuracy of ML / CV models, including retraining and optimizing 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 firmware 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 product team 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.