Find your next AI Engineering role

Glean is seeking a Site Reliability Engineering Lead to foster a culture of engineering excellence, drive technical strategy, and develop a high-performing, collaborative team. Your role is pivotal in ensuring our services meet stringent Service Level Objectives (SLOs) and in building resilient, automated production environments in the cloud. You'll lead a team and be responsible for products globally, providing technical leadership to key projects and empowering your team to do the same. Much of our software development focuses on building infrastructure to scale our operations in a hybrid cloud environment and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale and fast growth which are unique to Glean, while using your expertise in coding, algorithms, problem-solving, and SRE practices. We keep Glean applications up and running, ensuring our customers have the best and most reliable experience possible.

$200k - $260k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy. We are focused on solving complex problems across compute, storage, networking, and applied AI. The Token Factory team is developing a cutting-edge inference platform designed to make various foundation models (text, vision, audio, and multimodal) fast, reliable, and effortlessly deployable at massive scale.

We are seeking an Applied AI Engineer to join our team and build AI-powered features that enhance our product experience and drive business outcomes. This is a hands-on, product-focused role where you will take ideas from concept to production, designing intelligent systems, validating them with users, and transforming them into reliable, scalable services. You will collaborate with cross-functional teams to identify high-impact opportunities, prototype rapidly, and iterate based on data, owning the full lifecycle from experimentation and evaluation to deployment and continuous improvement. The ideal candidate is passionate about applying LLMs and modern ML tooling to real-world challenges, with a strong understanding of systems, tradeoffs, and outcomes, prioritizing performance, quality, latency, and cost in production.

$215k - $250k

Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. Turing also partners with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems within mission-critical workflows. This role involves leading the Turing Enterprise AI Platform technical team, which is being built out for a late 2025 SDK release and a Q1 2027 tenant onboarding. The goal is to grow the team to eight to ten members and collaborate with the Chief AI Architect on client-facing architecture and evaluation.

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing's Enterprise AI unit is seeking a Forward-Deployed AI Engineer to join its initial team. This role operates with the speed and focus of a startup, defining the frontier of applied AI in the workplace. You will own outcomes end-to-end, from identifying high-value customer problems and shaping architecture to building production systems and collaborating directly with senior client leaders. This is an intellectually challenging role focused on developing generative AI solutions that drive measurable impact and ROI within large institutions.

$200k - $250k

Turing's mission is to accelerate superintelligence to drive real economic progress. The Enterprise AI business unit operates with the speed and focus of a startup, building applied AI solutions for the workplace. As a Forward-Deployed AI Engineer (In Training), you will own outcomes end-to-end, from identifying customer problems and shaping architecture to building production systems and working directly with senior client leaders. You will build generative AI solutions that drive measurable business impact within large institutions. Your initial placement will be in Turing Akademia, an eight-week intensive development program focused on applied AI, production engineering, and client delivery skills, preparing you for live client projects.

$170k - $210k

Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $400k

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k

Turing is seeking Research Engineers to advance the understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $400k

Turing is at the forefront of accelerating superintelligence to drive economic progress. We partner with leading AI labs and enterprises to create high-quality datasets, reinforcement learning environments, and research benchmarks that enhance model capabilities in areas like software engineering, enterprise knowledge work, and advanced STEM reasoning. Our work spans both foundational research and applied AI development, focusing on synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. We aim to bridge the gap between cutting-edge research and real-world deployment, using deployment signals to refine data, evaluations, and models.

$250k - $400k

Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$250k - $350k

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for leading AI labs and enterprises. We create RL environments to evaluate and improve models on complex, long-range, multi-step workflows across high-value domains. We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

$250k - $350k

Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.

$150k - $300k

Databricks

The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team focused on building and productionizing first-of-its-kind AI applications. This role is for experienced engineers who excel at working with customers and teammates, and who are passionate about the latest trends in Generative AI, LLMOps, and Machine Learning. You will collaborate cross-functionally with engineering and product teams to shape strategic priorities and initiatives, acting as a trusted technical advisor to customers across various domains.

$182k - $250k

Databricks

Databricks is seeking an AI Forward Deployed Engineering (AI FDE) professional to join a specialized customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The ideal candidate is passionate about customer engagement, collaboration, and staying current with GenAI and LLMOps trends. This position can be remote, but requires periodic on-site work in the Washington, D.C., Maryland, or Virginia metropolitan area.

$182k - $250k

Cloudflare's Emerging Technologies & Incubation (ETI) team is seeking an Engineering Manager to lead the engineering efforts for Agentic Commerce. This role focuses on building the infrastructure that enables machine-to-machine payments and monetization, a key component of the "Agentic Internet" vision. The team is developing tools to manage how AI agents pay for resources across the web, bridging traditional commerce with decentralized protocols for micro-payments at internet scale. This is a management position for a technically credible leader who can guide a team in solving complex problems related to high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols.

€74k - €93k

Parloa is at the forefront of a new era in customer experience, powered by agentic AI. We aim to make every customer conversation effortless, transforming support into meaningful exchanges. Our platform has already powered over a billion interactions for global enterprise brands. As a Senior Software Engineer, you will work on a marketplace of tools and integrations that enhance Parloa's AI agents, ensuring secure and scalable access to business systems. While experience with our specific stack is not required, a willingness to learn and code in Typescript is essential.

Anthropic

Anthropic is seeking a Staff+ Software Engineer to enhance the vector search infrastructure powering Claude. This role is crucial for Claude's ability to access information, impacting web search, conversation memory, and model training. You will join a small, foundational team responsible for the architecture, performance, scalability, and cost of the vector database layer. As a hands-on engineer, you will contribute to coding and make key architectural decisions, shaping the future evolution of this critical system within the Databases organization.

$320k - $485k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, nurturing a talented engineering team, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will play a key part in shaping the future of AI observability at scale, contributing to a company that has raised $125M and is experiencing rapid growth.

$200k - $250k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, mentoring a team of engineers, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will foster a culture of collaboration, ownership, and technical excellence, ensuring the scalability and reliability of our platform. The position requires a strong technical background and a bias towards shipping quickly while learning from customers.

$220k - $270k

SpaceX is building Super Intelligence to help humanity understand the universe, developing the full Super Intelligence stack from supercomputers to large language models and applications. This role focuses on the most critical post-training and reinforcement learning challenges, including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities. You will work on cutting-edge AI problems with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

$180k - $600k

NVIDIA is seeking a Security Research Engineer to join its AI Safety & Security Engineering team. This role focuses on advancing AI-powered tooling to find, validate, and patch software vulnerabilities. You will apply rigorous security judgment to confirm vulnerabilities and define correct, safe fixes, ensuring they repair flaws, protect existing behavior, and withstand revalidation. The work involves developing repeatable methods, establishing high engineering standards, and documenting reasoning for security reviews. While AI-assisted workflows are integral, a disciplined skepticism towards their outputs is also crucial. Your contributions will shape the program's understanding of trustworthy patching and help decide future vulnerability class targets.

$224k - $431k

NVIDIA is seeking a Harness and Platform Engineer to build the foundational infrastructure for AI safety and security engineering. This role is critical in ensuring the repeatability and trustworthiness of AI experiments. You will be responsible for the platform that supports all agent-based tooling, making sure that experimental results can be reproduced reliably. You will work closely with security research and evaluation engineers to understand their workflows and streamline their processes, aiming to reduce surprises by ensuring consistent environments, versioned tooling, and repeatable runs. Your focus will be on treating researcher time as valuable and removing any friction in the development and evaluation loop.

$152k - $288k

NVIDIA is seeking a Senior Full-Stack Software Engineer to build next-generation AI platforms and products that enhance business efficiency and productivity. This role involves working with concepts like RAG and agentic AI, utilizing state-of-the-art paradigms, third-party platforms, and open-source repositories. As a key leader, you will influence the architecture, development, and scaling of software systems, collaborating with Cloud, AI/ML, and Generative AI teams in a dynamic environment to meet business needs.

$168k - $322k

Salesforce is seeking a Senior/Lead Performance Engineer to join the SalesforceDB team, which manages the transactional database powering the Salesforce Platform. This role involves driving the design, scalability, and performance of our distributed database technology. You will identify and resolve performance bottlenecks, lead benchmarking efforts, and build telemetry to monitor production fleet performance. This is a fast-paced, collaborative environment where your work directly impacts the performance and scalability of a system handling trillions of transactions monthly.

$149k - $260k

Salesforce is seeking experienced Database Distributed Systems Software Engineers to join their Agentforce team. This role involves designing and building highly concurrent, distributed systems that support Salesforce's growth, focusing on database internals, systems programming, and software engineering. You will own work from start to finish, including architecture, design, implementation, monitoring, testing, and product support for large, mission-critical systems, shaping the future of Salesforce's database infrastructure.

$173k - $260k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

Salesforce is seeking a Field Service Readiness Architect to join the Cloud Success Readiness team. In this role, you will be deeply involved in the customer experience, collaborating with Technology & Product (T&P) and Customer Success (CS) teams to ensure customer success at scale. The Cloud Success Readiness team focuses on improving customer adoption and product quality by addressing customer needs and preparing stakeholders to deliver product innovation. You will leverage your product knowledge and technical expertise to provide insights, recommendations, and document product feedback for the T&P organization. This role involves working closely with various Customer Success teams to scale product expertise and knowledge of the product lifecycle, enabling them to better support customers. You will also act as an early adopter, bringing architectural guidance, product expertise, innovation, and knowledge to stakeholders in Customer Success and Technology & Products.

$123k - $186k

Salesforce is seeking an MBA intern to join the Business Value Services (BVS) team. This role will partner with Sales and Solution Engineering on strategic customer engagements, focusing on quantifying the financial value of Salesforce solutions, including Agentforce and other AI capabilities. The intern will demonstrate how these solutions drive measurable business outcomes across various industries. This position is based in New York, New York, and offers the opportunity to work on real projects that impact the company's future, with access to mentorship and talent development programs.

Salesforce is seeking an MBA intern to collaborate with Healthcare and Life Sciences (HLS) customers and sales teams. The intern will focus on demonstrating how digital transformation, including AI solutions, drives business and financial value for health systems, payers, and life sciences companies. This role involves working closely with HLS Sales and Solution Engineering teams on strategic customer engagements, specifically exploring how AI agents can automate administrative tasks or enhance patient and member experiences.

Salesforce is seeking an MBA intern to join the Business Value Services (BVS) team, focusing on strategic customer engagements within the Financial Services sector. This role involves providing quantifiable insights into how Salesforce solutions, including AI, drive business and financial outcomes for clients in banking, insurance, and wealth management. The intern will work on real projects that impact business operations, collaborating with sales and solution engineering teams to demonstrate the value of Salesforce's AI-powered CRM.

NVIDIA is at the forefront of the AI revolution, powering innovations from self-driving cars to intelligent assistants. Join a diverse applied research team focused on building next-generation Conversational AI systems. The team works on novel language models for code and mathematics reasoning, having developed a model that won the latest Kaggle AI MO competition. They also create algorithms to accelerate the training of large models on their GPU cloud and release new models through NeMo, an open-source toolkit for Conversational AI used by numerous companies for applications like customer service and voice assistants. Collaboration extends to research and product teams, as well as leading academic machine learning labs.

NVIDIA is seeking a Senior AI Security Engineer to join their Agentic & AI Cybersecurity Research team. This role focuses on building AI-powered cybersecurity tooling, seamlessly interfacing humans, models, and computing artifacts to create secure environments. The engineer will transform complex problems and prototypes into practical, production-ready solutions, collaborating with research, security, product, and partner teams to develop robust codebases and accelerate AI cybersecurity advancements.

$184k - $357k

NVIDIA's Agentic Cybersecurity Research team is seeking a motivated AI Security Researcher to innovate and enhance the protection of AI models, systems, and infrastructure. This role involves researching and developing advanced technology that secures AI and systems using AI, contributing to globally visible work that drives the frontier of the industry. You will focus on both using AI models and agents to improve cybersecurity and securing AI models and agents themselves.

$192k - $357k

NVIDIA Nsight Compute develops groundbreaking performance tools for GPUs, catering to both newcomers and expert CUDA developers. Join our team to craft the future of profiling tools, helping engineers harness the full power of GPU technology for AI and High Performance Computing breakthroughs. You will design and implement innovative features for our GPU performance profiling tools with a focus on AI applications, build tools instantly used by CUDA developers worldwide, and collaborate with internal teams like the compiler and CUDA driver teams to influence and design new features from the bottom up.

$152k - $288k

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

ElevenLabs is seeking an engineer to join their research infrastructure team to ensure their NVIDIA GPU clusters are fast, reliable, and performant. This is a builder-operator role with significant autonomy, where your impact will be directly measured by training throughput and researcher velocity. You will be responsible for the entire stack beneath the training code, from OS images and NVIDIA drivers to high-speed networking and job scheduling. The role involves both hands-on hardware work and writing automation to eliminate manual tasks, with a focus on maintaining cluster security and performance.

OpenAI

The Agent Post-Training team at OpenAI is responsible for developing the frontier agents that are shipped to users. This involves training models for products like Codex and ChatGPT, focusing on creating persistent, proactive intelligence that can operate computers, collaborate with humans and other agents, and expand user capabilities. The team defines the next generation of agent abilities, builds the training signals, and runs experiments to realize these advancements. The role specifically focuses on teaching models to operate computers, including navigating browsers and desktops, using tools, reasoning through complex workflows, and completing long-horizon tasks reliably. This position is at the intersection of frontier model training, product behavior, evaluation, and systems engineering, directly influencing the computer-use capabilities of OpenAI's future agents.

$380k - $500k