Samsara

Senior AI Platform Engineer to build, ship, and scale Samsara’s Enterprise AI platform, providing end-to-end capabilities for AI agents. The role involves owning the full lifecycle of AI-powered systems, from design and prototyping to production deployment and monitoring. Key responsibilities include architecting and scaling GenAI capabilities, leading investments in RAG, embedding pipelines, LLM orchestration, and multi-modal data processing, and integrating AI solutions with internal and external systems.

Samsara is seeking a Senior AI Platform Engineer to build, ship, and scale their Enterprise AI platform. This role involves owning the full lifecycle of AI-powered systems, from design and prototyping to production deployment and monitoring. The engineer will architect and scale company-wide GenAI capabilities for AI agents embedded in operational workflows, lead platform investments in RAG, embeddings, LLM orchestration, and multi-modal processing, and mentor the AI & Data team. The role requires strong expertise in Python, Generative AI solutions, and AI agent development frameworks.

Sr. AI Engineer II on the Revenue Operations AI & Data Team, focused on building production-grade generative AI applications to transform sales operations. The role involves developing AI-powered copilots, generating outreach at scale, and enabling voice/chat interfaces, working across the stack from model experimentation to app development and infrastructure.

Senior Manager, Safety AI at Samsara, leading teams focused on end-to-end computer vision and machine learning for AI dash cameras. The role involves detecting, interpreting, and surfacing actionable safety events and continuous risk signals by fusing on-device computer vision with other vehicle data. Responsibilities include owning the model lifecycle from data curation to deployment and monitoring, developing the core AI platform, and partnering with other teams to ship low-latency features. The role requires experience leading large teams and building/deploying large-scale ML systems.

Senior Manager for Safety AI team focusing on end-to-end computer vision and ML for AI dash cameras, delivering real-time driver safety insights and alerts. The role involves leading teams, architecting hybrid cloud-edge ML solutions, owning the model lifecycle from data curation to deployment and monitoring, and partnering with other teams to ship low-latency features. The goal is to improve safety in industrial operations.

Staff ML Engineer focused on building and operating an end-to-end ML platform for industrial AI applications, covering training, experimentation, inference, and edge deployment. The role involves significant infrastructure ownership, reliability, and technical leadership.

Product Manager for Safety AI at Samsara, focusing on leveraging AI/ML, computer vision, and VLMs to improve safety in physical operations. The role involves defining and scaling AI-powered safety products, developing perception and prediction models, and understanding driver behavior and crash risk. It requires a strong technical background and experience with AI/ML product delivery, with an emphasis on video data and foundation models.

Product Manager for Safety AI at Samsara, focusing on applying AI/ML and computer vision to improve safety in physical operations (transportation, agriculture, etc.). The role involves defining and scaling AI-powered safety products, developing models for risk detection and driver behavior analysis, and working with engineering teams to launch new features. Experience with foundation models, quantization, and distillation is desirable.

AI Engineer IV role focused on building, shipping, and scaling end-to-end AI-powered applications and GenAI capabilities within an enterprise setting. The role involves owning the full lifecycle from ideation to production deployment and iteration, integrating AI solutions with internal systems, and developing AI-powered solutions for various business functions. Requires strong Python and Generative AI experience, including LLMs, vector databases, prompt engineering, RAG, and agent development frameworks.

AI Engineer IV responsible for building, shipping, and scaling AI applications and capabilities end-to-end, from design and prototyping to production deployment and iteration. The role focuses on architecting and scaling GenAI capabilities and business applications embedded into operational workflows, integrating AI solutions with internal and external systems, and developing AI-powered solutions for various business functions. Requires strong Python, Generative AI, and AI agent framework experience.

Staff Machine Learning Engineer focused on designing and implementing AI product initiatives on Edge devices, optimizing ML models for edge compute constraints, and working with large-scale sensor, diagnostic, video, and text data for industrial operations customers.

Staff Machine Learning Engineer focused on designing and implementing AI products on Edge devices, optimizing ML models for edge compute constraints, and working with large-scale sensor, diagnostic, video, and text data for industrial operations. The role involves both tactical solutions and strategic research, with a strong emphasis on production code delivery and cross-functional collaboration.

This role is responsible for operating and scaling an AI-powered customer listening infrastructure, driving the implementation of a unified customer intelligence platform, and deriving AI-powered insights to improve the end-to-end customer journey. The role involves managing AI tooling, building synthetic CSAT models, and leading a team focused on AI-driven CX.

Co-op role focused on applying AI/ML to supply chain operations, including building AI agents, automation tools, and ML models for forecasting and risk detection. Involves data exploration, cleaning, and collaboration with business stakeholders.

Senior Software Engineer, Growth role focused on building AI agents and products to accelerate revenue and improve go-to-market efficiency. The role involves full-stack development, partnering with GTM teams, and technical leadership.

Senior Software Engineer focused on driving business growth through the development of AI agents and products, working across the full stack on customer acquisition, lead management, and GTM efficiency. This role involves partnering with go-to-market teams, leveraging data, and technical leadership in a fast-paced, hyper-growth environment.

Staff ML Engineer focused on building and operating an end-to-end ML platform for industrial AI applications, covering training, experimentation, inference (cloud and edge), and deployment. The role emphasizes platform ownership, scalability, reliability, and enabling product teams to ship ML-powered features.

Software Engineer II, AI Platform role focused on building scalable, reliable backend systems and platform capabilities for GenAI-powered applications. The role involves implementing multi-step AI workflows, model execution, and integrations, working closely with AI engineers and cross-functional teams to evolve foundations for future AI use cases. Requires hands-on experience with GenAI systems, prompt orchestration, tool execution, and backend development.

Staff Software Engineer to lead the design and evolution of a predictive maintenance platform using IoT and telematics data. The role involves shaping the architecture for ML-powered features, including time-series modeling, data pipelines, APIs, and customer-facing workflows, and ensuring the reliability, performance, and cost efficiency of large-scale distributed systems. The engineer will partner with product, data science/ML, and design teams to deliver end-to-end features and mentor other engineers.

Senior Software Engineer, AI Platform role focused on building and evolving core platform capabilities for GenAI-powered applications. The role involves designing and implementing scalable, reliable systems for multi-step AI workflows, model execution, and integrations, sitting at the intersection of distributed systems and applied AI. Key responsibilities include developing backend systems, execution infrastructure, and collaborating with AI engineers and product teams to create a production-grade platform.

Senior Machine Learning Engineer to lead the architectural evolution of safety systems, moving from siloed models to a unified Perception Platform Layer. This role involves building robust infrastructure for real-time ML systems across cloud and edge, focusing on performance, reliability, and rigorous evaluation for safety-critical applications.

Senior Machine Learning Engineer to lead the architectural evolution of safety systems, moving from siloed models to a unified Perception Platform Layer. This role involves building robust infrastructure for real-time ML systems across cloud and edge, focusing on performance, reliability, and rigorous evaluation for safety-critical applications.

Founding AI/ML role in Supply Chain to build capabilities from scratch, owning demand forecasting, inventory optimization, and supplier risk modeling end-to-end. Will design, develop, and deploy ML models, own the full stack (modeling, MLOps, deployment, monitoring), and build production systems. Challenges include forecasting variable SKUs, modeling supplier risk with IoT data, cost optimization, and anomaly detection. Requires building predictive models, creating features from large datasets, and delivering production code for batch and real-time inference.