Unknown - Lead Machine Learning Engineer - ML Infrastructure - Remote
Requirements
• Experience shipping ML-powered features end-to-end, from design through production and iteration, with measurable impact on product or business metrics. • Background in computer vision and/or LLM-based systems in production environments. • Experience with edge or on-device ML and collaboration with firmware or embedded teams. • Familiarity with model lifecycle systems (model registry, deployment, monitoring, rollback, drift detection). • Experience working in environments with strong security and compliance requirements. • Demonstrated ability to lead across teams and influence technical direction at Staff+ scope. • A strong sense of ownership and a desire for end-to-end autonomy—from platform design to real-world impact. • The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Responsibilities
• Design, build, and operate Samsara’s end-to-end ML platform spanning training, experimentation, batch and online inference, and edge deployment, used by multiple product teams across Safety AI and adjacent domains. • Partner with product and applied ML teams to design, launch, and iterate ML-powered features (e.g., backend CV models, EcoDriving insights, LLM-based reporting), driving measurable improvements in safety outcomes, feature reliability, and cost efficiency. • Lead throughput and cost estimation for new ML features—from early-stage exploration to production-scale capacity planning—informing roadmap and go/no-go decisions. • Collaborate on experiment design and evaluation, including defining success metrics, structuring A/B tests or offline evaluations, and interpreting results to guide product and technical decisions. • Evolve shared training and experimentation infrastructure (e.g., job orchestration, cluster configuration, environment management), and standardize experiment tracking, evaluation, and regression testing to enable fast and safe iteration. • Design and operate scalable online and batch inference systems (Ray- and Spark-based), including deployment patterns, observability, and SLOs, while unifying training-to-production workflows and enabling consistent pipelines across teams. • Partner with firmware and edge teams to define workflows for packaging, validating, and deploying models to Samsara devices, and build feedback loops from edge to cloud to support continuous improvement. • Own the reliability, observability, and security posture of ML systems across cloud and edge environments, including on-call practices, incident response, and infrastructure hardening. • Provide Staff+/Senior-Staff-level technical leadership by setting architecture and strategy for ML infrastructure, influencing cross-team decisions, and mentoring engineers and applied scientists. • Drive strong developer experience through documentation, office hours, and best practices, while contributing to and representing Samsara in open source communities (e.g., Ray, Spark, RayDP). • Own or co-own end-to-end technical delivery for high-priority or high-risk initiatives, from modeling and system design through production rollout. • 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.
Benefits
• $200,200—$357,500 USD • At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. • Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. • Flexible Working • Flexible Working • At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. • Belonging at Samsara
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