Build, fine-tune, and deploy machine learning solutions and AI-powered applications for customers while improving the internal ML platform. The role requires 5+ years of software engineering experience, strong Python skills, and customer-facing technical project leadership.

Build and operate dependable agentic AI systems that analyze large-scale hardware telemetry for aerospace and defense teams. Design tools, execution environments, distributed job systems on Kubernetes, and evaluation frameworks while owning the product end-to-end and speaking directly with customers.

Build and operate dependable agentic AI systems that analyze large-scale hardware telemetry for engineering teams. Own product areas end-to-end, from customer conversations to designing tools, APIs, distributed execution on Kubernetes, evaluation frameworks, and integrating frontier models. Requires 8+ years software engineering experience with backend services and distributed systems.

Builds and deploys 3D perception systems for autonomous construction robots, combining cameras, LiDAR, deep-learning vision, and point-cloud geometry. The role requires Python and C++, ROS 2, computer vision, sensor fusion, and production optimization for edge hardware.

Leads development of real-time 3D perception and sensor-fusion systems for autonomous robots, covering localization, calibration, semantic scene understanding, and edge deployment. Requires 5+ years of experience, strong computer vision fundamentals, and proficiency in C++.

Staff AI Engineer building the Agent Harness runtime for Instabase's SuperApp: design secure sandboxed execution environments, state machines for agent orchestration, tool-calling frameworks, and guardrails connecting LLMs to production systems. Requires 8+ years distributed systems experience plus agentic AI expertise.

Develop and deploy LLM agents and multi-agent systems to edge hardware for tactical defense applications, interfacing with sensors, effectors, and drones. Requires 5+ years software engineering experience, strong skills in PyTorch, LangChain, and languages like Rust/Python/C++, plus security clearance eligibility.

Senior ML engineer building perception systems for autonomous vehicles at Nuro. Apply SOTA deep learning to detection, tracking, sensor fusion and intent prediction; own problems from POC through onboard deployment and monitoring. Requires recent autonomous driving ML experience plus strong Python/C++ skills.

Build and improve AI agent experiences and conversational knowledge engine for Otter AI Chat. Focus on quality evaluation, infrastructure for orchestration/tracing, diagnosing failures across the stack, and driving measurable improvements in AI systems from traces and feedback. Requires 3+ years AI/ML engineering, strong backend/distributed systems skills, and experience shipping LLM-powered products.

Build and improve AI agent experiences and conversational knowledge engine for Otter AI Chat. Focus on quality evaluation, infrastructure for orchestration/tracing, diagnosing failures across the stack, and driving measurable improvements in task completion, reliability, and cost. Requires 5+ years AI/ML engineering, strong backend/distributed systems skills, and experience shipping LLM-powered products.

Build and operate backend services for AI and model inference on Confluent's real-time streaming data platform. Own end-to-end feature delivery across model lifecycle, inference routing, and agent execution with strong distributed systems expertise.

Lead design and development of Harvey's Model Infrastructure platform powering all AI requests, including unified model controller, intelligent routing, multi-provider integrations, observability, and capacity management for high reliability, low latency, and efficiency. Requires 7+ years building large-scale distributed systems with strong programming and leadership skills; AI/LLM infrastructure experience preferred.

Build and own a mission-critical research platform for evaluating AI model capabilities and behaviors at xAI. Design instruments, datasets, grading schemes, and infrastructure to measure, diagnose, and improve models while shipping delightful internal tools.

Build and evaluate production AI agent harness systems for biomedical discovery. Own multi-agent coordination, planning, tool use, memory, rigorous evaluations, and infrastructure for reliable scientific agents. Requires strong backend/ML engineering and quantitative judgment.

Research Engineer building and deploying production conversational AI models and agents at Decagon. Improve instruction following, retrieval, memory, and long-horizon task completion; take research prototypes to measurable production impact using LLMs and ML tooling.

Build and optimize AI agents for legal workflows at Harvey. Design environments, actions, evaluations, tools, and infrastructure for high-performance domain-specific agents using LLMs.

Research Engineer/Scientist on OpenAI's Personal AGI Model Experience team, shaping ChatGPT's character, behavior, and human-AI interactions through research, human data, evaluations, reward models, and post-training. Requires strong ML engineering and research experience with large models.

Founding engineer building an AI-native platform to automate Coinbase's finance workflows (period-close, reconciliation, regulatory filings). Architect governed LLM agents with SOX-compliant controls, integrate with ERP systems, and set technical direction for FP&A/Treasury as an embedded engineer.

Develops and productionizes NLP and LLM algorithms and agentic workflows for analyzing medical text and supporting clinical decision-making. The role requires at least five years of Python-based algorithm development experience and strong production AI engineering skills.

Build and scale GPU compute infrastructure, training frameworks, data pipelines, and ML platforms to power large-scale training and inference at xAI. Requires strong distributed systems and ML infrastructure experience plus Python proficiency.

Software Engineer building scalable ML data platform infrastructure including data lakes, dataset generation, model training, analytics and monitoring systems at large scale (1.5B inferences/sec). Requires 6+ years experience with strong Python/Golang and CS fundamentals.

Build and own ML infrastructure, data pipelines, and tooling for Safeguards research at Anthropic. Focus on fast researcher iteration for training/evaluating lightweight detectors on model internals while ensuring correctness at scale. Requires strong Python, distributed systems, and production infrastructure experience.

Senior technical leader defining autonomy strategy and architecture for new platforms in space, maritime, and contested logistics. Owns end-to-end development and integration of mission behaviors, control, coordination, and executive autonomy from simulation through live tests; requires 10+ years experience and expert C++ skills.

Lead technical delivery of first-of-a-kind autonomy solutions for new platforms in space, maritime, and contested logistics domains. Own end-to-end integration from simulation to live tests, influence architecture across teams, and provide on-site mission support in ambiguous, evolving environments.

Build and optimize the end-to-end LLM inference stack for production deployments. Profile and tune serving frameworks (vLLM/SGLang) and CUDA kernels for latency, throughput and cost; partner directly with customer teams to take workloads from POC to monitored production.

Develop and integrate autonomy software for emerging platforms in space, maritime, and contested logistics. Integrate existing capabilities, develop new mission behaviors and controls, own end-to-end testing from simulation to live exercises, and support field operations (10-20% travel). Requires 5+ years experience with C++ and embedded/real-time systems integration.

Senior technical leader defining autonomy architecture and integration strategy for launched effects platforms in multi-agent, often disconnected environments. Owns end-to-end development, fielding, and operational support of mission behaviors, platform control, and fleet-scale autonomy for defense customers.

Own technical direction for Expeditionary autonomy portfolio on V-BAT and X-BAT unmanned aircraft platforms. Define long-term strategy, lead complex integration of mission behaviors, flight interfaces, payloads, and multi-agent operations while mentoring senior engineers and influencing cross-team architecture.

Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype, ship full-stack production features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a startup-like environment.

Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype and ship production backend/frontend features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a fast-moving startup-like environment.

Perception Engineer owning outcomes for autonomous mining vehicles. Responsible for sensor selection, model adaptation to new sites/domains, diagnosing failures, data strategies, and translating customer needs into technical KPIs and solutions. Requires strong systems understanding of perception/full stack and real-world deployment experience.

Build and scale distributed reinforcement learning infrastructure for post-training large multimodal foundation models, including rollout generation, environments, rewards, and evaluation systems for agentic tasks.

Build and deploy AI-powered internal tools and shared infrastructure to automate workflows and boost productivity across engineering, product, operations, and business teams at a frontier AI compute infrastructure company. Requires 3+ years production software engineering, full-stack skills, and deep hands-on experience with LLMs, agents, and AI coding tools.

Senior R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research, prototype, and ship production full-stack features across backend, frontend, SRE, and QA in a fast-moving startup-like AI team.

Build and operate scalable ML training frameworks, distributed infrastructure, and model lifecycle tools to power foundational models, reinforcement learning, and other ML use cases across Zoox's autonomous driving teams. Requires 2+ years ML infrastructure experience with PyTorch, DeepSpeed, JAX, Ray and AWS.

Build, evaluate, and productionize ML/AI models (including LLMs and NLP) that solve ambiguous healthcare, product, and operational problems at Sprinter Health. Requires strong experimentation, error analysis, stakeholder collaboration with clinicians, and focus on real-world impact, bias, and evaluation.

Build and lead the first ML engineering function at Sprinter Health. Design and implement production ML platforms for training, serving, features, monitoring, retraining and governance; productionize models from prototype to reliable systems in a healthcare startup environment.

Build and maintain Lyft's ETA prediction system using ML models for ride matching, pricing, and user experience. Requires 3+ years ML experience, production code for high-scale low-latency systems, and tradeoff decisions on accuracy vs performance.

Build and operate high-performance inference systems across kernels, runtimes, serving infrastructure, and heterogeneous clusters while owning customer workloads in production. The role requires exceptional production engineering, customer-facing technical judgment, and the ability to solve ambiguous problems independently.

The Staff Machine Learning Scientist identifies and frames product opportunities, researches algorithms, evaluates models, and partners with engineers to ship impactful ML products. The role requires 5–8 years of applied ML experience, technical leadership, strong programming, and advanced ML education.

Build and ship AI-powered customer support products, moving ML prototypes into robust production systems while partnering closely with scientists, product, and design teams. The role requires strong software engineering fundamentals, 5+ years of product experience, and proficiency in a high-level programming language.

Leads and grows a team of ML scientists delivering user-facing machine learning products, while providing technical guidance and collaborating across ML, engineering, product, and design. Requires 5+ years of individual ML, AI, NLP, or data-related contributions and strong applied ML and coding skills.

Build and ship AI-powered customer products by turning ML prototypes into robust, scalable production systems. The role requires staff-level software engineering expertise, 10+ years of product experience, strong programming fundamentals, and collaboration with scientists and product teams.

Applies machine learning research and experimentation to identify customer value, evaluate algorithms, and ship product prototypes with engineering teams. Requires 3–5 years of applied ML experience, strong statistical and programming skills, and typically advanced education in ML or a related field.

Build and optimize large-scale training pipelines and low-latency inference services for Fin’s AI models. The role requires strong software engineering experience, hands-on expertise in model training, inference, or GPU programming, and collaboration with ML scientists.

Lead a team of ML engineers building and scaling production ML systems for Fetch's Ad Platform, including ad ranking, targeting, bidding, and optimization. Requires 8+ years technical experience (2+ managing teams), strong ML lifecycle and production systems expertise, and cross-functional partnership skills.

Build and deploy large-scale online ML models and end-to-end pipelines for real-time fraud detection at Sift, working on automated training systems that process over 1T events. Requires 4+ years production ML experience, strong Python/Java/Scala skills, and distributed systems expertise with Spark, Databricks, and GCP.

Build and lead Traba's agentic platform as a founding member of the Agents team. Architect orchestration, evals, model strategy, and integrations for autonomous AI agents in industrial supply chain workflows. Requires 7+ years engineering experience including 2+ years production LLM/agent systems, strong Python/TS skills, and customer immersion.

Build and manage scalable MLOps infrastructure, automated ML pipelines, model serving, and monitoring for a Large Tabular Model (LTM) at an enterprise AI company. Requires 5+ years MLOps/DevOps experience with Kubernetes, PyTorch/TensorFlow, and cloud infrastructure.

Build and deploy the ML-based perception system (3D detection, BEV, tracking, sensor fusion) for L4 autonomous trucks, owning models from architecture through onboard deployment and safety validation. Requires 5+ years in ML perception/robotics, strong Python/C++/PyTorch, and classical perception fundamentals.