Senior Machine Learning Engineer - Edge AI

Samsara

Location not specified

Full Time

Posted April 23, 2026

$206k - $242k

Not Specified

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Job Description

The role involves designing, optimizing, and deploying computer vision and multimodal machine learning models for constrained edge platforms in Samsara's in-vehicle camera systems, with a focus on improving driver safety and engagement through real-time AI insights.

Key Responsibilities

Design, optimize, and deploy computer vision and multimodal ML models for constrained edge platforms in in-vehicle camera systems
Apply model optimization techniques such as quantization, pruning, and distillation for real-time inference
Collaborate with research and product teams to translate AI detections into deployable edge models
Develop and maintain the ML runtime pipeline to ensure scalable, reliable, and testable on-device inference
Create benchmarking, profiling, and validation frameworks to ensure robustness of models across deployed devices
Improve edge ML toolchain and promote best practices in model optimization and deployment

Requirements

Minimum of 5 years of experience developing and deploying deep learning models for edge, embedded, or real-time systems.
Strong background in computer vision or multimodal machine learning, such as 2D/3D CNNs or Transformers, using industry-standard deep learning frameworks.
Proficiency in Python and C++, with hands-on experience optimizing inference runtimes and applying model optimization techniques for edge deployment.
Deep understanding of performance tuning, including compiler- or DSP-level optimizations, runtime profiling, latency analysis, and memory management on constrained hardware.
Familiarity with middleware or streaming frameworks used in real-time perception pipelines.
Excellent cross-functional communication and collaboration skills, especially across machine learning, firmware, and product domains.