ML Engineering jobs
Live ml engineering roles pulled straight from company hiring systems, refreshed daily.
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ML Engineering roles cluster around $183k, with most listings between $156k and $225k. 71% of open ml engineering roles call out Python; PyTorch and Machine Learning appear in roughly a third. OpenAI leads the board with 37 open ml engineering roles, followed by Zoox and Applied Intuition.
Senior Machine Learning Engineer, Recommendation
Senior IC role owning search and recommendation systems for a consumer social platform. Build retrieval, ranking, and discovery models that drive user engagement and content distribution.
Staff Software Engineer, Cribl AI
Staff-level AI/ML engineer building and productionizing generative AI features across backend and frontend for Cribl's observability platform. Requires 6+ years experience, AI/ML and MLOps background, and TypeScript/JavaScript proficiency.
Senior GenAI Software Engineer
Senior engineer building and shipping production-grade GenAI systems for ad creative generation, including multimodal models and interactive playables. Requires 5+ years experience, strong Python/JS skills, and proven LLM production experience.
Member of Technical Staff — Model Optimization and Inference
Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.
Researcher: Agent Post-Training, API & Power-Users
Improve agentic model capabilities for API and power users by designing experiments, building evals from real workflows, and driving post-training interventions from discovery through launch.
Machine Learning Platform Engineer
Build and operate the ML platform to productionize models, enable real-time inference, and manage the full ML lifecycle with MLOps best practices. Requires 3+ years platform engineering and 1+ years owning ML systems end-to-end.
Senior Software Engineer, AI
First dedicated AI engineer building and shipping LLM-powered features into a healthcare EHR platform. Own end-to-end delivery of production AI capabilities, establish evaluation and observability practices, and enable other product teams to adopt AI patterns.
Staff Applied Scientist - Dashboards
Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.
Member of Technical Staff, Vision / Language
Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.
Member of Technical Staff — Pretraining Infra
Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.
Staff Applied Machine Learning Engineer
Build and operate production ML systems for ranking, recommendations, search, and customer intelligence signals used across product, growth, risk, and decisioning teams. Requires 12+ years of production ML experience and deep expertise in intelligent systems.
Senior Machine Learning Engineer, Search & Recommendations Ranking
Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.
Staff Software Engineer, AI Search
As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.
Senior ML/AI Modeler, Risk Automation Machine Learning
As a Senior ML/AI Modeler, you will automate Risk and Compliance investigations at Block using agentic and generative AI. You will experiment with and deploy AI copilot and autopilot systems, owning the end-to-end system from API calls to productionization and monitoring.
Head of ML
Mach9 is seeking a Head of Machine Learning to lead and grow a team of ML engineers and researchers. This hands-on leadership role involves defining the technical vision for ML strategy, mentoring the team, and owning the process from research to product.
Senior Machine Learning Engineer, Model Risk Management
As a Senior Machine Learning Engineer, Model Risk Management, you will independently challenge model owners across lending, fraud, and AML, ensuring models are sound for customers and regulators. You will hunt for silent errors, build agentic validation tooling, and define standards for production AI systems.