Top AI & Machine Learning Jobs

Conduct applied research on user representation learning, transformers, and generative AI; build and deploy large-scale embedding, retrieval, and semantic search systems; collaborate with engineering and product teams to productionize models and run rigorous evaluations.

Build and improve production AI/data pipelines, design model evaluation workflows and Jupyter analyses, add observability to AI systems, experiment with models/retrieval/prompt architectures, integrate and abstract AI APIs, and help define inference serving, fine-tuning, and dataset-generation infrastructure.

Build and prototype state-of-the-art large language model systems and deep AI assistants, take services from ideation to production, fine-tune and compare open-source and commercial LLMs, use cloud platforms, analyze model and projection accuracy, and collaborate cross-functionally.

Design and develop Persona's ML software stack for humanoid robots, applying ML to manipulation, navigation, locomotion, and perception. Build, test, and deploy models and data pipelines, monitor real-world performance, collaborate with partners and universities, and help grow the ML and autonomy teams.

Lead a cross-functional team to identify, design, build, and scale RPA and AI automation solutions. Oversee end-to-end project delivery, develop business cases and KPIs, measure ROI, and drive continuous optimization. Collaborate with stakeholders, present to executives, and foster a high-performing culture focused on operational efficiency and innovation.

Lead Rec's end-to-end AI product strategy, own the AI roadmap, partner with engineering/design/GTM, drive prompt engineering and evaluation, and ensure AI agents are reliable, trustworthy, and useful for recreation staff.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

As an ML Scientist, you'll develop and improve ML models, work on the ML stack, and innovate new approaches in NLP, Speech, and Computer Vision.

Build and maintain the front end of a portable AI compiler: parsing, validation, and IR lowering from frameworks (PyTorch, StableHLO, ONNX, MLIR) into internal IR. Ensure operator coverage, collaborate with optimization and codegen teams, and improve correctness, tooling, and ingestion pipelines.

Lead global expedition planning and execution while implementing AI-enabled systems, workflow automations, and integrations. Manage international permitting, logistics, vessel coordination, data governance, dashboards, and post-expedition reviews. Drive continuous operational improvement, cross-functional coordination, and AI-driven process enhancements to increase mission readiness and efficiency.