Develop tracking, fusion, and state-estimation algorithms for unmanned autonomous systems, taking them from research concepts to deployable production software. The role requires a bachelor's degree, 5+ years of relevant experience, strong C++ and Python skills, and eligibility for UK security clearance.

Build and productionize AI/ML systems including recommendations, natural language interfaces, and agentic workflows for Sigma's data analytics platform. Requires 10+ years experience across the full ML lifecycle and foundation model expertise.

Build and productionize AI/ML systems including recommendations, NLP interfaces, and agentic workflows. Requires 10+ years building production-grade AI/ML systems and experience with foundation models.

Build and productionize large-scale recommendation systems, NLP/embedding models, and agentic AI workflows. Requires 6+ years ML/NLP experience and expertise in PyTorch/TensorFlow, RAG, and vector search.

Staff-level engineer building LLM/ML systems for clinical documentation review, risk detection in healthcare claims, and provider-patient matching at a mental healthcare platform.

Staff Software Engineer building and scaling Databricks' managed large-scale GPU training platform (AIR). Focus on distributed training performance, scheduling, fault tolerance, and developer experience for thousands of accelerators.

Senior Software Engineer building and scaling Databricks' managed GPU training platform (AI Runtime) for large-scale distributed AI model training. Requires 5+ years in distributed systems and hands-on experience with GPU training frameworks.

Build and maintain distributed inference systems serving Claude to millions of users. Design intelligent routing, autoscaling, and high-performance infrastructure across diverse AI accelerators.

Build and prototype diffusion-based text-to-image generative models (Pinterest Canvas) using large-scale visual-text datasets. Requires 5+ years industry computer vision experience and an M.S. or Ph.D.

Lead ML architecture and implementation for Airbnb's Messaging & Notifications, building recommendation engines, ranking systems, and LLM-powered experiences while mentoring engineers.

Senior AI/ML Engineer building transformer and deep learning models on financial and behavioral data to power personalized growth and marketing experiences at Chime. Requires strong production ML experience with PyTorch, AWS, and large-scale data infrastructure.

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.

ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.

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.

Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.

Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.

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.

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.

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.

Leads the design, productionization, and continuous improvement of AI-native products and platform capabilities, including LLM and agentic systems. Requires extensive software engineering experience, production system ownership, and a technical degree or equivalent experience.

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.

Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.

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.

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.

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.

As an ML Engineer at Mach9, you will build perception models for an AI-enabled CAD system, focusing on extracting 3D object and line features from LiDAR point clouds and imagery. This role involves end-to-end ownership from research to production.

Lead end-to-end delivery of ML initiatives for customer support, focusing on conversational AI and generative AI. Partner with cross-functional teams to define ML roadmaps and drive R&D efforts for next-generation chatbot architectures.

As a Software Engineer on the Hosted Model Infrastructure team, you will build and operate high-performance model serving infrastructure, deployment pipelines, and observability for production AI systems. This role involves working across the full stack to enable ML models in various environments, including air-gapped government networks and edge nodes.

As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.

Build secure, scalable generative AI services, APIs, and interfaces for enterprise customers. The role requires production Python experience, expertise with LLM applications and agentic frameworks, cloud-native architecture, and strong collaboration across engineering and product teams.

Build and scale secure generative AI services and applications using Python, LLMs, and modern frameworks. Own architecture decisions from proposal through production deployment for enterprise customers.

Build and scale low-latency speech and LLM systems powering conversational healthcare voice agents. The role requires 3–5 years of end-to-end product engineering experience, distributed-systems expertise, and familiarity with the modern Python and React stack.

As a Senior Software Engineer on the AI Platform team, you will own end-to-end technical design and implementation for high-impact AI platform initiatives. You will build scalable agent infrastructure, design observable and self-correcting systems, and mentor junior engineers.

As a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.

As a Staff Software Engineer, Machine Learning Platform, you will be a technical lead, defining strategy and leading the technical direction for the next generation of ML infrastructure at Stripe. You will take ownership of end-to-end architecture and system design for complex projects, working cross-functionally to drive significant business impact.

Build and operate high-performance Rust infrastructure powering production AI agents, including inference, orchestration, execution, reliability, and observability systems. The role requires 5+ years of high-scale production engineering experience and expertise in distributed systems, performance optimization, and ML infrastructure.

As a Member of Technical Staff, Robotics Research Engineer, you will lead the robotics vertical of world models, transforming video-native foundation models into policies for real robots. This hands-on role involves designing robot learning pipelines, deploying policies on hardware, and conducting experiments to advance manipulation and locomotion performance.

As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.

As a Software Engineer, you will build and design the machine learning infrastructure for OpenAI's monetization and ads systems. This involves developing large-scale data pipelines, model training platforms, real-time inference systems, and experimentation frameworks to support high-throughput, low-latency advertising workloads.

As a Machine Learning Researcher specializing in audio, you will lead the evaluation and optimization of large-scale speech datasets for AI models. This involves researching audio data quality, developing new metrics and evaluation frameworks, and translating insights into practical tools to improve model performance.

Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, Product, and Design teams, and advocating for user experience in technical decisions.

As a Senior Machine Learning Engineer, you will develop and deploy state-of-the-art ML solutions for healthcare problems, working with large medical datasets and owning ML services end-to-end. This role requires expertise in LLMs, cloud platforms, and ML frameworks.

Viam is seeking a Lead Software Engineer to lead the Data/ML team, owning technical direction, architecture, and delivery. This hands-on role involves managing a team of 5+ engineers, writing code, and driving the reliability and performance of ML training and inference infrastructure.

Build and maintain production software for a growth data platform, including AI-powered clinical agents, agentic workflows, observability, and retrieval systems. The role requires strong Node.js and TypeScript experience, production delivery skills, and hands-on LLM application development.

As an AI Engineer, you will build and deploy AI-powered solutions to drive business outcomes across Sales, Marketing, and Customer Support. This role requires strong engineering skills, systems thinking, and a product mindset to own initiatives from discovery to deployment.

As a Member of the Technical Staff, you will be a Software Engineer specializing in PDF processing and document understanding workflows. You will be responsible for building, scaling, and refining Python-based application code, ensuring fast and efficient PDF processing, and managing ML operations and quality.

As a Member of the Technical Staff, you will build consumer-facing chat agents that serve as the frontend to complex workflows. This role requires strong Python ability, user empathy, and a metrics-driven approach to understanding and improving chat agent quality.

As an Open-Source Machine Learning Engineer, you will enhance the open-source machine learning ecosystem, focusing on libraries like Transformers and PyTorch. You will collaborate with the ML community, contributing to and supporting the tools you build.

Build and improve open-source machine learning libraries while collaborating with researchers, practitioners, users, and contributors. The role requires strong Python, deep-learning framework experience, practical familiarity with the Hugging Face ecosystem, and a public record of open-source contributions.

Drive ML performance optimization initiatives to make autonomous driving models faster and more efficient using distributed training, quantization, distillation, and profiling tools.