ML Engineer

About The Company
Samsara (NYSE: IOT) is a pioneering technology company that leads the development of the Connected Operations™ Cloud platform. Our platform enables organizations reliant on physical operations to leverage Internet of Things (IoT) data to generate actionable insights, optimize processes, and enhance safety, efficiency, and sustainability. Serving industries that constitute over 40% of the global GDP—including agriculture, construction, field services, transportation, and manufacturing—Samsara is committed to driving digital transformation at scale. Our innovative solutions help improve the safety of workers, streamline operations, and promote environmentally sustainable practices. Working at Samsara means contributing to shaping the future of physical operations through cutting-edge product offerings such as Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. As a publicly traded company, we offer our employees the autonomy and support to make a meaningful impact while building for long-term success.
About The Role
We are seeking a highly experienced Staff / Senior Staff Machine Learning Infrastructure Engineer to lead the design, development, and evolution of Samsara’s end-to-end machine learning (ML) platform. This critical role involves overseeing the infrastructure that powers Safety AI and related product areas, combining deep platform ownership with direct product impact. The successful candidate will enable multiple teams to build, deploy, and scale ML systems that directly contribute to real-world safety outcomes. This position is remote and open to candidates based in the United States.
The ideal candidate is passionate about impacting industries that keep the world moving, enjoys building scalable solutions, and thrives in a collaborative environment. You will work on a range of technologies, from distributed computing frameworks such as Ray and Spark to cloud infrastructure on AWS, Kubernetes, and production observability tools. Your work will involve designing scalable online and batch inference systems, partnering with firmware and edge teams, and ensuring the reliability, security, and performance of ML systems across cloud and edge environments. You will provide technical leadership, mentor engineers, and influence cross-team decisions, all while embodying Samsara’s cultural principles of customer success, long-term thinking, growth, inclusivity, and teamwork.
Qualifications

• 10+ years of experience in machine learning engineering or related fields, with a proven record of building and operating large-scale ML systems.
• Extensive experience with distributed computing frameworks such as Ray and/or Spark.
• Hands-on experience with cloud infrastructure, particularly AWS, along with containers/Kubernetes and production observability tools.
• Proven ability to support or build ML platforms used by multiple teams, including training, experimentation, and inference systems.
• Strong understanding of ML fundamentals, including evaluation, experiment design, and model iteration in production environments.
• Excellent communication and leadership skills, with experience mentoring engineers and influencing technical strategy.

Preferred qualifications include experience with computer vision and large language models (LLMs), edge ML deployment, model lifecycle management, and working within security and compliance frameworks.
Responsibilities

• Design, develop, and operate Samsara’s comprehensive ML platform supporting training, experimentation, inference, and edge deployment.
• Partner with product teams and applied ML engineers to develop ML-powered features that enhance safety, reliability, and cost efficiency.
• Lead capacity planning and throughput estimation for new ML features from proof-of-concept to production-scale deployment.
• Design and implement experiment frameworks, define success metrics, and interpret evaluation results to inform product development.
• Standardize and evolve infrastructure for training and experimentation, including job orchestration, environment management, and experiment tracking.
• Develop scalable online and batch inference systems, ensuring observability, reliability, and consistent workflows across teams.
• Collaborate with firmware and edge teams to define deployment workflows and feedback loops for continuous improvement of models on devices.
• Ensure the security, reliability, and monitoring of ML systems across cloud and edge environments, managing incident response and infrastructure hardening.
• Provide technical leadership by setting architecture strategies, influencing cross-team decisions, and mentoring engineers and scientists.
• Promote best practices, contribute to open-source communities, and document technical solutions to improve developer experience.
• Lead high-priority initiatives from conception through production rollout, ensuring successful delivery and impact.
• Champion Samsara’s core cultural principles and foster an inclusive, innovative, and collaborative work environment.

Benefits

• Competitive salary ranging from $200,200 to $357,500 USD, complemented by performance-based bonuses and equity options for eligible roles.
• Comprehensive health insurance plans including medical, dental, and vision coverage.
• Flexible working arrangements supporting remote, hybrid, or in-office work models.
• Generous paid time off, including holidays, vacation, and personal days.
• Professional development opportunities, including training, conferences, and open-source contributions.
• Wellness programs and resources to support mental and physical health.
• Inclusive and diverse workplace culture committed to equity and belonging.

Equal Opportunity
Samsara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, national origin, gender, gender identity, sexual orientation, veteran status, disability, or any other protected characteristic. We believe that diverse perspectives and backgrounds drive innovation and help us better serve our global customer base. All qualified applicants will receive consideration for employment without regard to any legally protected status.