Machine Learning Infrastructure Jobs
Browse 24 exciting jobs hiring in Machine Learning Infrastructure now. Check out companies hiring such as Point72, Superhuman, Zoox in Kansas City, Modesto, Arlington.
Point72 is hiring a Machine Learning Infrastructure Engineer to build and operate scalable GenAI infrastructure that accelerates model development and production across cloud and on-prem environments.
Lead the development of an AI Agent platform and production ML systems at Superhuman, driving orchestration, LLM integration, and proactive product experiences.
Lead and grow Zoox's ML Platform engineering organization to deliver scalable training and low-latency inference infrastructure for large foundation and RL models across vehicle and cloud environments.
Workday is hiring a US-citizen Software Development Engineer (MLOps) in Boulder, CO to build and operate scalable DevOps/ML infrastructure and CI/CD pipelines for its AI platform.
Laminar is seeking a Jr. Machine Learning Developer to develop, test, and productionize ML models that extract actionable insights from spectral and sensor data to improve industrial process efficiency and sustainability.
Lead the architecture and productionization of Spotify’s shared Agent Engine to power scalable, reliable agent-based experiences across the platform.
Workday is hiring a Principal Software Engineer to own and evolve AI-native infrastructure tooling and automation across large-scale, distributed platform environments.
Lead the design and delivery of production personalization, ranking, and multi-objective optimization systems that improve listener experience across Spotify's platforms.
Sygaldry is seeking an ML Infrastructure Engineer to design and operate multi‑cloud GPU orchestration, research compute tooling, and CI/CD pipelines that enable reproducible, scalable ML and simulation workloads.
Lead Slack's search and AI platform as VP Product to set strategy, drive model and infrastructure decisions, and deliver reliable, scalable AI-powered search and knowledge services for enterprise users.
Lead the design and production of Mercor's anonymization platform, applying advanced ML and backend engineering to enable secure, privacy-preserving access to large-scale human data.
TRI's Future Factory team is hiring a Senior Research Engineer to design scalable training/evaluation infrastructure and high-performance geometry and physics-aware tooling that translate research into production-grade systems.
An early-stage AI infra company seeks a technical, quota-carrying Account Executive to drive new B2B revenue across AI startups and mid-market customers, bridging US clients with a global engineering team.
Lead Hinge’s product-level data science and analytics strategy to scale experimentation, measurement, and behavioral modeling across multiple product teams.
Crosby is hiring a Technical Generalist to build across frontend, backend, and AI systems and help scale an AI-first legal platform for fast-growing companies.
General Robotics seeks an ML Systems Engineer in Redmond to productionize and optimize real-time, GPU-accelerated model serving and ML infrastructure for autonomous robotics.
Encord is hiring an Account Manager in NYC to own expansion for strategic ML and data customers, driving adoption and long-term value across technical stakeholders.
Technical Program Manager needed to coordinate research programs and operationalize processes at an early-stage AI startup building enterprise-grade Large Tabular Models.
Canva is hiring a Head of Data - Marketing to lead a ~25-person team in building best-in-class marketing measurement, ML-driven optimisation, and data infrastructure to fuel global growth.
Simile is hiring a seasoned Technical Recruiter to build world-class ML, GenAI, and engineering teams that power its societal-scale simulation platform.
Samsara is hiring a Staff ML Engineer to lead architecture and delivery of their ML platform—spanning training, experimentation, inference, and edge deployment—to drive scalable, real-world safety outcomes.
Lead Highlight’s engineering organization to architect scalable core infrastructure and deliver trusted AI-native user experiences at scale in an on-site San Francisco role.
Lead A1's technical vision as CTO, shaping scalable AI systems and building a high-performing engineering organization across global talent hubs.
Lead the design and delivery of scalable ML infrastructure at Genentech to accelerate AI-driven drug discovery and support cross-functional ML teams.
