Description
Samsara, a pioneer of the Connected Operations Cloud, is seeking a Senior Machine Learning Engineer to join its Safety AI team. The successful candidate will be responsible for building resilient, low-latency ML backend systems that turn static model artifacts into high-throughput, cloud-scale safety features.
The role involves partnering with applied scientists, firmware and full-stack engineers, and product managers to build ML APIs, data pipelines, and evaluation infrastructure that enable Safety AI models to run efficiently at fleet scale.
Key responsibilities include:
- Designing and maintaining reliable, low-latency APIs to integrate Safety AI model outputs directly into cloud applications
- Constructing scalable pipelines to power continuous model iteration, backtesting, shadow and online evaluation
- Optimizing and serving model artifacts handed off by applied scientists
- Processing high-volume camera and sensor telematics data to support model execution, backtesting, and automated dataset curation
- Building systems to track model drift, precision/recall, and latency regressions in production
- Collaborating with firmware and platform teams to optimize edge-to-cloud model execution
- Working with product managers to translate safety requirements into scalable technical architectures
The ideal candidate has 6+ years of experience as a Machine Learning Engineer, strong proficiency in one or more common languages, and experience deploying and iteratively refining models using real customer feedback loops.
In terms of compensation, the annual base salary for this position ranges from $170,170 to $286,000 USD. The role is eligible for an initial RSU grant and ongoing refresh opportunities tied to performance.