Top AI & Machine Learning Jobs

Design and build scalable AI platform capabilities to enable multi-step GenAI workflows, model execution, and integrations. Implement backend services, execution infrastructure, APIs, and observability to support production GenAI experiences across sales and product teams. Collaborate with AI engineers, data scientists, and product partners to turn AI use cases into reliable, extensible platform features.

Lead backend and AI work for in-vehicle, real-time voice and agent experiences. Define architecture, ship zero-to-one AI products, design edge-aware distributed systems, establish reliability/observability for AI decisioning, mentor firmware engineers, and drive technical direction.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

Lead backend engineering for AI-powered, real-time in-vehicle experiences. Define architecture and APIs for edge-constrained clients, build orchestration for concurrent agent/voice interactions, ensure reliability, observability, and safety of AI systems, mentor firmware engineers, and ship zero-to-one products.

Lead technical direction for developer platform tooling: CI/CD, build systems, and AI coding agents. Design, build, and scale AI agents for coding, code review, testing, release automation, and incident response. Standardize tools, mentor engineers, drive cross-team technical projects, and represent the platform externally.

Lead a 4–7 person engineering team to build AI-first GTM systems including LLM orchestration, agentic pipelines, Salesforce integrations, and AWS event-driven services. Hands-on manager contributing to architecture, code reviews, hiring, career development, reliability, observability, responsible AI practices, and cross-functional GTM partnerships to turn business needs into scalable engineering roadmaps.

Review and audit large volumes of video/image events for tag accuracy, adding or removing tags, following validation procedures, and correcting errors. Work full-time on-site in shifts, maintain high attention to detail and productivity targets (350+ events/day).

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.