Leads production deployment and optimization of large language models on GPU hardware, focusing on quantization, inference engines, serving infrastructure, and performance benchmarking. Requires a bachelor's degree and 5+ years of software engineering experience in ML infrastructure, LLM inference, or model optimization.

Build and ship autonomous, agentic software development lifecycle capabilities, including AI agents, orchestration, and safety guardrails. The role requires senior software engineering experience, proficiency in Ruby, Go, or Python, distributed systems knowledge, and experience with AI/ML applications.

Build and deploy production AI-agent systems, including their harnesses, evaluations, orchestration, and supporting services. The role requires 5+ years of software engineering experience, production LLM or agent experience, and strong Python or TypeScript/Node.js skills.

Builds high-scale data pipelines, distributed systems, and AI agent workflows using LLMs for fraud intelligence platform. Requires 2+ years software engineering, Python proficiency, big data tools, AWS/K8s, and ML foundations.

Build research infrastructure and tooling that enables AI models to design silicon, including reinforcement learning environments, EDA integrations, evaluations, and experiment workflows. The role requires strong software engineering fundamentals and comfort working across research, tooling, and chip-design systems.

Machine learning intern pursuing a Ph.D. who will build and deploy production-scale models and pipelines, conduct an end-to-end research project, and collaborate with engineering and product teams on blockchain and cryptocurrency applications.

Build and deploy generative AI and LLM-powered agentic applications at Front to automate customer support inquiries, enhance product capabilities, and drive operational insights. Requires 5+ years software engineering experience with strong production AI/ML focus, agentic/RAG expertise, and proficiency in Node.js, TS, and Python.

Build, deploy, and optimize AI applications and machine learning models for customer use cases while contributing to an internal ML platform. This new graduate role requires a technical master’s degree, hands-on ML or LLM experience, and strong customer communication skills.

Develop and productize online mapping models for autonomous navigation using real-world sensor data. The role requires deep ML expertise, robotics or computer vision experience, strong Python and deep learning framework skills, and a staff-level ability to deliver practical solutions.

Develop and deploy deep-learning perception solutions for autonomous and non-autonomous platforms, taking computer vision research into real-time edge production. Requires deep learning and computer vision experience, modern model architectures, and relevant tertiary qualifications.

Develop and deploy advanced deep-learning computer vision and perception solutions for edge devices, while contributing to research, scalable MLOps tooling, and production optimization. Requires 3–5 years of industry experience, relevant tertiary qualifications, and expertise in modern vision architectures.

Build and operate production AI agents for finance workflows, owning orchestration, evaluation, reliability, and human-in-the-loop safeguards. Requires 8+ years building SaaS products, 2+ years shipping agentic systems, and hands-on Node.js and TypeScript experience.

Staff machine learning engineer leading scalable ranking, search, recommendation, and personalization systems. The role requires 9+ years of applied machine learning experience, strong programming and data engineering skills, and expertise productionizing models and pipelines.

Senior AI Engineer responsible for production LLM agents that enrich business identity data through web discovery, verification, classification, and risk scoring. The role requires strong asynchronous Python, agent and evaluation expertise, browser automation, and experience operating AI systems in production.

Build production AI capabilities for automated slide and document generation, working across LLM applications, data analysis, and content generation. The role requires 3+ years in machine learning and NLP, advanced Python, and experience with LLM frameworks and production systems.

Build and operate large-scale ranking and retrieval systems that power search relevance, including hybrid lexical/vector search, embeddings, query understanding, and permission-aware retrieval. Requires a bachelor's degree and 5+ years of ML engineering experience in ranking or information retrieval.

Develop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.

Machine learning engineer who trains, evaluates, and productionizes models and LLM-powered applications for financial products. Requires 2+ years of ML systems experience, strong Python and PyTorch skills, production data pipelines, model evaluation, and API development.

Develop and deploy machine learning models for biomedical research and AI products, collaborating with scientific, engineering, and product teams. Requires an advanced quantitative degree, substantial ML experience, Python proficiency, and experience bringing models into production or research applications.

Build and deploy agentic systems that power AI-driven creative video workflows. The role requires 5+ years of experience, production ML or agentic pipeline development, context engineering, and expertise in evaluation and agent infrastructure.

Designs and ships production multi-agent compliance systems, including LLM pipelines, model training, evaluation, monitoring, and explainability. Requires 5+ years of applied AI/ML engineering experience, strong Python, and experience deploying production ML systems.

Applied AI Intern contributing to machine-learning research, generative AI features, and production model deployment for customer-facing observability products. Requires a relevant degree, hands-on machine-learning experience, strong programming skills, and graduation in 2027.

Paid Applied AI internship focused on building, evaluating, and deploying production-oriented AI applications, including agents, RAG pipelines, and LLM integrations. Requires strong Python skills and current or recent study in a relevant technical field.

Build and deploy AI-powered products for digital-native customers, taking systems from experimentation through production and scale. The role requires strong Python skills, hands-on production engineering, systematic AI evaluation, and the ability to navigate reliability, security, governance, and customer impact.

Research Engineer who productionizes robotics, perception, and machine-learning prototypes for reliable, real-time execution on hardware. Requires 3+ years of systems or production ML experience, strong modern C++, CUDA, Python, Linux, and performance optimization skills.

Senior software engineer building scalable backend and distributed systems for agentic AI products, integrating models into reliable customer-facing services. Requires 5+ years of production software engineering experience and strong backend, cloud, API, and AI systems expertise.

Build and operate customer-facing agentic systems that automate support workflows, diagnose issues, and safely execute bounded actions. The role requires 2–4 years of software engineering experience, production AI systems experience, and strong backend or integration debugging skills.

Senior software engineer building shared AI/ML platform systems across GPU training, model lifecycle management, and production inference. The role requires seven-plus years of production engineering experience, strong backend or infrastructure skills, Kubernetes and cloud expertise, and practical understanding of ML systems and performance.

Research Engineer developing machine-learning and reinforcement-learning systems for defensive cybersecurity, including agentic investigations, experiments, evaluations, and production training runs. Requires cybersecurity research experience, strong software engineering, and a bachelor’s degree or equivalent experience.

Conduct research and engineering on next-generation video generation models, including post-training, evaluation, multimodal data systems, and scalable ML infrastructure. The internship requires current bachelor's or master's study and practical experience with Python, data pipelines, or distributed systems.

Build and deploy AI-powered software development workflows with enterprise engineering organizations, taking Codex use cases from prototype through production and scaled adoption. The role requires strong hands-on software or AI systems experience, Python proficiency, systematic evaluation skills, and fluent Japanese and English.

Leads the design and operation of reliable, scalable model infrastructure powering AI inference across multiple providers. Requires 7+ years of distributed-systems engineering experience, strong programming skills, and expertise in production reliability and cloud infrastructure.

Leads the development of ML- and NLP-powered search relevance systems, including query understanding, ranking, retrieval, and evaluation. Requires 10+ years of search relevance experience and a bachelor’s degree, with advanced study preferred.

Research Engineer focused on building and deploying real-time audio and speech models for conversational voice agents. The role requires experience with speech or multimodal machine learning, production inference, Python, and PyTorch, with emphasis on taking research from prototype to measurable production impact.

Research Engineer focused on making conversational AI agents safe, reliable, and controllable in production. The role develops evaluations, safeguards, post-training methods, and monitoring systems, requiring 2+ years of AI/ML or safety experience and strong Python and production engineering skills.

Build and operate production ML and AI services using Python, LLM APIs, and robust software engineering practices. The role requires 6+ years of professional software experience, including production ML systems, and partners closely with product and engineering teams.

Build and operate LLM-powered agents that automate business workflows, integrating systems of record through MCP and validating behavior with structured evaluations. Requires 5+ years of software development experience, strong Python and SQL, and hands-on experience shipping agents to production.

Leads hands-on development and deployment of production AI agents and workflows, sets technical standards, and mentors engineers. Requires 4+ years of software engineering experience, production LLM application experience, and strong Python or TypeScript skills.

Senior AI engineer owning production systems for real-time speech models and AI voice agents. The role requires 5+ years of production software experience, Python, model serving and inference optimization, cloud and distributed systems expertise, and strong reliability and operations skills.

Leads development of speech models, decoders, and low-latency inference systems for next-generation voice agents. Requires 5+ years in speech ML or related audio AI, strong Python and PyTorch experience, and the ability to guide technical direction and mentor engineers.

Own machine learning end to end, from modeling messy clinical data through production deployment, monitoring, and infrastructure. The role requires 7+ years of experience building scalable ML systems, strong software and data engineering skills, and proficiency with Python, SQL, and cloud platforms.

Design, deploy, and improve real-time machine learning systems for Lyft’s ride fulfillment and marketplace products. The role requires 2+ years of ML experience, production programming skills, and expertise with deep learning and recommendation systems.

Build full-stack AI agent fleets, APIs, workflows, and internal services that automate complex business processes. The role requires at least five years of engineering experience, hands-on LLM framework experience, production AWS expertise, Kubernetes, and strong API and database skills.

Leads the production AI platform and internal AI adoption strategy, overseeing pipelines, evaluations, monitoring, reliability, cost controls, governance, and enablement. Requires substantial hands-on experience operating ML/AI systems and strong judgment across technical and executive stakeholders.

Sets the technical direction for production machine learning across a payments platform, building and scaling models for risk, authorization, disputes, and forecasting. Requires 8+ years of ML engineering experience, including production model ownership and strong technical leadership.

Research and develop computer vision and deep learning algorithms for autonomous drones, taking ownership of projects from prototyping through product integration. The internship requires strong C++ or Python and PyTorch skills, mathematical foundations, and software engineering ability.

Build and operate production machine learning systems for ranking, retrieval, recommendations, personalization, and customer intelligence. The role requires 12+ years of production software and ML experience, strong expertise in intelligent systems, and sound judgment around trustworthy customer-impacting signals.

Senior engineer developing and productizing AI, machine learning, scientific computing, and data-analysis capabilities for a high-performance analytics engine. Requires 5+ years building quantitative data-intensive software and expertise in Python, machine learning, scalable architecture, and distributed computing.

Develop and productionize generative AI applications for customers while advising stakeholders and influencing product direction. The role requires extensive industry data science experience, production ML deployment expertise, graduate-level quantitative training or equivalent experience, and native Japanese with professional English.

Build and operate scalable AI/ML systems and pipelines that strengthen Airbnb’s fraud prevention and trust defenses. The role requires 7+ years of backend or platform engineering experience, strong programming and data engineering skills, and production machine learning expertise.