Senior+ Applied Scientist
$170,170–$319,000 year
RemoteUnited States
Job Summary
Build and improve the accuracy of ML/CV models by retraining and optimizing them to solve Samsara-specific problems across Video-based Safety, Vehicle Telematics, Equipment Monitoring, and Workforce apps. Process petabyte-scale data from camera and sensor devices to develop new models and optimize inference for backend and edge deployment. Partner with firmware and full-stack teams to deploy models for optimal performance and cost while collaborating with product managers to translate customer needs into ML solutions. Stay connected to industry research to adopt novel technologies and champion Samsara's cultural principles as you scale globally.
Required Qualifications
- BS or MS in Computer Science or other technical degree
- 5+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar role working on Computer Vision
- Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
- 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
- Ability to work alone and collaboratively
- Must be able to reside in the United States
- Must be available for travel up to 5% of the time
Desired Qualifications
- 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
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