Browse 21 exciting jobs hiring in Ml Optimization now. Check out companies hiring such as Western Digital, CoCreativ, Zoox in Fayetteville, Milwaukee, Phoenix.
Lead the strategy, architecture, and delivery of modern supply-chain systems at Western Digital to drive inventory optimization, COGS reduction, and improved customer delivery performance.
Lead the architecture and execution of globaledit's serverless platform as a hands-on Principal Engineer, guiding and scaling a team that builds creative production workflows for major brands.
Senior Software Engineer (C++/GPU Performance) to optimize GPU/CPU compute, build instrumentation and benchmarking frameworks, and collaborate with component teams to meet latency and power targets for a next-generation autonomous vehicle platform.
Senior Machine Learning Engineer to design and implement large-scale, low-latency ML systems that power Nexxen’s real-time DSP bid optimization and ad scoring.
Sciforium is hiring a Distributed Training Engineer to own and optimize the full ML training stack — from drivers and kernels to JAX/PyTorch — enabling large-scale training and deployment of next-generation LLMs.
Lead the ML stack as a founding Machine Learning Engineer at a stealth, self-funded AI group, defining models, training pipelines, and scalable inference for a global consumer product.
Contribute as an ML/AI intern at Oligo to build generative-design, simulation-aware, and systems-level AI that helps design and produce flight-ready spacecraft.
WEX seeks an experienced Senior Staff SRE to define and execute enterprise reliability strategy, build resilient systems, and lead cross-functional initiatives that improve scale, observability, and operational excellence.
Build and productionize multi-step AI agents and the backend infrastructure that powers PermitFlow’s pre-construction platform in a fast-moving, hybrid NYC startup.
Lead and build the ML cloud platform at an early-stage AI startup in San Francisco, owning end-to-end infrastructure for training and deploying large-scale physics models while remaining deeply technical and customer-facing.
Samsara is hiring a Staff Machine Learning Engineer to build and optimize production-scale ML systems and edge AI solutions using petabyte-scale IoT and video data.
Lead growth-focused ML initiatives to optimize incentives and deliver production-ready AI solutions for a high-impact, remote-friendly organization.
Lead the strategy and delivery of distributed inference, LLM integrations, and on-device ML features at webAI to enable privacy-first, enterprise-grade AI on the edge.
Lead the architecture and execution of a high-throughput, low-latency ML and simulations platform that enables large-scale model training, inference, and simulation-driven product development.
WHOOP is hiring an Engineering Manager to lead data engineering efforts that power AI, analytics, and core business systems, balancing technical leadership with operational excellence.
Lead and grow an engineering team building large-scale LLM and conversational AI solutions that power intelligent enterprise virtual agents at ServiceNow.
Lead Brooks' global supply chain digital transformation to modernize systems, improve data-driven decisions, and deliver resilience, visibility, and agility across a multi-region retail and wholesale network.
d-Matrix is hiring a Senior Staff ML Researcher to develop and implement algorithmic and numerical techniques that optimize LLM inference on next-generation DNN accelerators at its Santa Clara hybrid headquarters.
Lead a talented engineering team at Woven by Toyota to develop and deploy cutting‑edge machine learning models and pipelines for behavior prediction and motion planning in real vehicles.
MediaAlpha seeks a seasoned Lead Data Scientist to architect and productionize ML solutions while growing and mentoring a team to improve real-time auction pricing and LTV-driven bid optimization.
Senior Data Scientist to design and productionize time-series forecasting and optimization models for NBCUniversal’s AdSmart audience products within a remote, cross-functional data technology team.
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