Find your next AI Engineering role

OpenAI

The Applied AI Engineering team partners with customers to integrate AI capabilities into their products and workflows, driving business impact. The Codex Applied AI Engineering team specifically focuses on helping organizations transform software development by integrating Codex into their lifecycle. This role involves leading a team of Applied AI Engineers to drive successful Codex adoption across strategic customers, working hands-on to design and build AI-enabled development workflows and solve complex implementation challenges. As a manager, you will set strategy, coach engineers, and ensure strong execution, acting as both a people leader and senior technical advisor.

$302k - $335k

Anthropic

Anthropic's RL Data Platform team is responsible for building and maintaining the systems that generate, process, and serve the human data used to train Claude. This includes developing interfaces for human feedback, creating pipelines to transform raw feedback into training signals, and providing tooling for researchers to launch, monitor, and analyze data collection efforts. The team ensures a consistent supply of high-quality data, enabling researchers to collect new data types rapidly and integrate them into training pipelines within days. This is a full-stack, high-ownership role within a small, senior team, requiring engineers to design and implement web interfaces for annotators, build backend services and data pipelines, and collaborate closely with RL researchers to understand and fulfill their data needs. The ideal candidate will treat researchers as users, prioritize reliability, and focus on the quality of the data produced.

$500k - $850k

Synthesia is seeking a Principal/Staff Software Engineer to work on core enterprise platform systems, focusing on services that ensure security, reliability, and scalability for their largest customers. This role involves contributing to a new suite of APIs to unlock their market-leading Avatar technology for external creative tools. As an AI-native company, Synthesia leverages powerful AI assistant tools daily to enhance development speed and expand project scope. The engineer will own projects spanning months and multiple teams, requiring the ability to break down complex, ambiguous problems into clear, iteratively deliverable steps. Collaboration with product, security, legal, and infrastructure partners is essential, translating business and regulatory requirements into scalable technical solutions. Evaluation of work will be based on system health and reliability metrics, ensuring performance, reliability, and compliance expectations are met, while considering the long-term platform direction.

From $200k

Ramp is seeking a highly motivated AI Solutions Engineer to be one of the first technical sellers for its new AI business. This role is responsible for translating complex AI products into closed revenue, selling a portfolio of AI-powered applications, agents, and infrastructure. You will guide customers through evaluation and purchase, demonstrating clear business value and managing opportunities from discovery to close. This is a quota-carrying, product-focused technical sales role that requires comfort in both technical and executive conversations, moving between discussions on model routing and APIs to ROI and operational impact. As an early member of the AI business team, you will significantly influence product positioning, sales strategy, and the customer experience, helping to build the foundational playbook for the broader team.

$217k - $298k

Thinking Machines is seeking a researcher to develop reliable model evaluations for research signals. This role involves creating, assessing usability, auditing, and improving the efficiency of evaluations. You will collaborate closely with researchers and engineers across post-training and the wider research organization, with opportunities to focus on specific areas or work across multiple problems based on your interests and experience.

$350k - $475k

NVIDIA is seeking a Reinforcement Learning Engineer to join its mission in building intelligent, safe, and efficient self-driving technology. This role involves pushing the boundaries of autonomous vehicle decision-making and planning by leveraging Deep Reinforcement Learning (RL). As a world leader in AI and high-performance computing, NVIDIA offers a unique platform where innovative research meets real-world production, aiming to redefine transportation globally.

$224k - $357k

NVIDIA is seeking a Senior Applied Research Scientist to join its Curator team. This role focuses on researching, developing, and deploying deep learning models and data pipelines at scale for foundation model training. You will work on next-generation data curation and document extraction, contributing to capabilities that power NVIDIA Nemotron Parse, with an emphasis on structured content extraction, data quality, and deduplication for petabyte-scale datasets. The team is building the foundations for modern LLMs, playing a critical role in training leading open LLM models.

$224k - $357k

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on the critical challenge of accurately measuring agent performance across multi-step interactions. You will build the 'judgement layer' of our agent evaluation platform, developing rubrics, judges, and methodologies to create meaningful scores. These scores will not only assess performance but also serve as a reward signal for training agents, enabling them to improve and avoid failures. This is an applied ML role tackling the open research problem of LLMs judging LLMs, specifically within the context of agents interacting with real enterprise environments.

Moveworks' AI agents are designed to act, plan, and modify enterprise systems, impacting millions of employees. This role focuses on building the crucial 'judgement layer' for our agent evaluation platform. You will develop the rubrics, judges, and calibration methods necessary to accurately score agent actions across complex, multi-step interactions. The goal is to create a signal precise enough to train agents for improved performance, turning evaluation into a training mechanism. This position is centered on applied ML, tackling the open research problem of LLMs evaluating LLMs, specifically within the context of agents performing real-world actions in enterprise environments.

Moveworks' AI agents are designed to act, plan, call tools, and modify enterprise systems, impacting millions of employees. The core challenge for this team is developing a precise measurement system to evaluate agent performance across multi-step interactions. This role will build the "judgement layer" of the agent evaluation platform, focusing on rubrics, judges, and calibration against human labels to create a meaningful scoring methodology. The developed signal will not only score agent actions but also serve as a reward signal for training, enabling agents to improve their performance. This is an applied ML role focused on the novel problem of LLMs evaluating LLMs, particularly in the context of agents interacting with real-world enterprise systems.

Anyscale is seeking a Software Engineer for its ML Developer Experience (MLDevX) team. This role focuses on the user-facing layer of the Anyscale platform, encompassing the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads. You will work across the full stack, from developer tooling to cloud infrastructure and the Ray runtime, aiming to make complex distributed computing systems intuitive and manageable for developers. This is a high-impact individual contributor role with end-to-end ownership, requiring strong product judgment and technical depth to build high-quality software for a diverse user base, from beginners to large enterprises running production workloads at scale.

$226k - $283k

TRM Labs is seeking a Software Engineer, API Integrations to join its AI Engineering team. This role focuses on building third-party integrations and a scalable integration platform to power AI-native products. You will design and implement reliable connectors, APIs, services, and infrastructure that enable TRM's AI systems to access external data sources safely and efficiently. Working closely with cross-functional teams, you will translate integration needs into production-grade systems, enhancing the speed, quality, and reliability of TRM's connections to external intelligence sources to support the mission of building a safer financial system.

$180k - $210k

OpenAI

The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities.

$302k - $335k

Vanta is seeking a Software Engineer to join the Integrations Platform team within Vanta Government Cloud (V4G). This role focuses on building and owning the platform that powers Vanta's trust automation ecosystem for the US Government Cloud. You will translate federal compliance requirements into automated product experiences, building scalable services and UI that enable seamless integration with cloud providers, identity providers, and HRIS systems. The position involves full-stack development, operational support, and collaboration with federal subject-matter experts to ensure secure and reliable integrations. This is a builder role with significant ownership and the opportunity to accelerate Vanta's growth in a rapidly scaling company.

$195k - $229k

Figma is seeking a seasoned researcher to join its Agentic Experiences team. This role will focus on shaping and executing research to drive innovation in design and production tooling, particularly in the evolving landscape of AI-assisted product development. You will explore complex questions around trust, verification, and control in AI-driven experiences, influencing company strategy and product decisions. The ideal candidate is passionate about research, AI-led experiences, and translating user needs into impactful product strategies. This full-time position can be based in one of our US hubs or remotely within the United States.

$169k - $250k

Perplexity is seeking a deeply technical software engineer to own and evolve its model serving platform. This critical system connects Perplexity's products and research systems with its inference layers, providing a fast and reliable interface across providers. The role involves working at the intersection of distributed systems, AI products, and infrastructure, aiming to simplify model adoption, rigorous experimentation, and dependable product shipping for teams across Perplexity. The ideal candidate will possess strong technical judgment from production systems and a keen interest in the evolving capabilities of frontier models, contributing to core abstractions, leading technical decisions, and writing production Rust and Python for a high-volume service.

$220k - $405k

Sim is building a platform to create autonomous AI agents for enterprise systems. The agent harness is the core system that ingests and reasons over a knowledge graph of company context to build and operate these agents. You will own the systems responsible for context retrieval, planning and execution, tool use, memory, and failure recovery. Your work will involve building evaluations and using production traces to enhance how company knowledge is translated into reliable agent behavior, directly shaping the harness architecture and future capabilities.

$190k - $250k

We are seeking a technical architecture expert with hands-on development experience to define and build the Retail and Consumer Packaged Goods Platform. This role involves leveraging NVIDIA's existing retail and supply chain blueprints, along with proven workflows and best practices, to architect a platform that powers digital commerce, supply chain, and intelligent stores. The platform will be built on NVIDIA's full stack, including Agentic AI and accelerated computing, and will utilize NVIDIA Nemo microservices and Nemotron open-source models, with an initial focus on Agentic AI for supply chain, digital commerce, and employee productivity.

$240k - $380k

Oneleet is seeking a GTM AI Engineer - Data & Attribution to own the data backbone of our go-to-market strategy. This role involves gathering, analyzing, interpreting, and visualizing marketing and sales data, working closely with the GTM Engineer to synthesize funnel insights. You will be responsible for building and maintaining data pipelines that consolidate information from various platforms into a single source of truth, ensuring data accuracy and providing clear explanations for discrepancies. The goal is to transform clean data into actionable dashboards for executives and enhance account intelligence for ABM and outbound efforts.

$100k - $160k

Vapi is seeking a Member of Technical Staff, Agentic Developer Experience to build and own the agentic development lifecycle. This role is crucial for transforming fragmented agent development pieces into a reliable system that connects sandboxes, CI, verification, and background agents. The goal is to create a cohesive system that accelerates engineering velocity, enabling agents to place real calls, validate their work, and ship with confidence, ultimately aiming to ship 10x faster in the real-time voice AI frontier.

Variance is building AI agents to handle complex judgment calls at scale in areas like risk investigation, fraud, and identity reviews. This role involves owning the technical delivery of these agents for enterprise clients, working directly with them from initial demos through production. You will build agents that make real decisions within fraud and risk workflows, directly impacting how businesses operate. This is a foundational hire with the opportunity to shape the future of AI agent development at the company, pushing the boundaries of what's possible with AI.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower users to control their intelligence and shape the future of AI. The Data Flywheel team plays a crucial role in bridging the gap between theoretical benchmark performance and practical, real-world utility. This involves identifying and developing the signals, data, and feedback mechanisms necessary to transform model usage into rigorous evaluations, targeted training data, and measurable improvements for future model generations.

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities, focusing on AI-powered search and agent experiences. You will contribute to building SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Depending on your interests and expertise, you'll work on one of three specialized teams: Core Research (foundational model capabilities, post-training, RL infra), Agent Products (fine-tuning models for agent products), or Comet Agent (developing and enhancing the Comet Agent product). This role involves a mix of research and development, infrastructure and implementation, and collaboration. You will be responsible for post-training SOTA LLMs, leveraging datasets to scale model performance, staying current with LLM research, and implementing preference optimization. You will also own full-stack data, training, and evaluation pipelines, build robust training frameworks, and integrate models into our product ecosystem. Collaboration with engineering and product teams is key to translating user needs into model improvements.

$220k - $485k

AHEAD is seeking a Principal Technical Consultant specializing in AI and Azure Cloud Platform Engineering. This role focuses on helping large enterprises design, build, and run AI agent platforms on Azure. You will own the end-to-end delivery process at client sites, from assessing current states and designing target platforms to building them, setting up delivery pipelines, and enabling client teams for ongoing operation. This is a hands-on role with significant delivery leadership responsibilities, including writing infrastructure and agent code, creating necessary documentation, and mentoring junior and mid-level consultants. You will also present your work to executive leadership and train client personnel on the delivered solutions. The platforms you build will be for clients in regulated industries, requiring a strong focus on private networking, policy governance, and rigorous evaluation before production deployment.

$190k - $220k

Cambio is seeking an AI Engineer to develop AI-powered features for their real estate decarbonization platform. This role involves building features from prototype to production, designing and running evaluations to enhance model quality, and constructing data and inference pipelines. The engineer will also experiment with new models, prompting, and retrieval techniques to optimize accuracy and cost, while collaborating closely with teammates.

Lightmatter is seeking a Principal Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads. This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

$300k - $350k

Lightmatter is seeking a Mixed-Signal Validation Engineer to join their team and contribute to the development of groundbreaking AI data center infrastructure. This role involves validating the architecture of mixed-signal circuits that power a photonic-based communication fabric, bridging the gap between low-level AMS/photonic devices and firmware/software interfaces. The engineer will influence product definition, technological roadmaps, and design/verification methodologies, working closely with digital, analog, photonic, and software teams. The position offers an opportunity to be part of a tight-knit team that is building a new kind of data center and solving complex challenges in a technically diverse environment.

$186k - $246k

As a Forward Deployed Engineer (FDE) at Parloa, you will be at the forefront of enterprise AI adoption, delivering cutting-edge technology into complex environments. Your primary mission is to lead end-to-end deployment projects from an engineering perspective, not just implementing existing solutions but engineering what's necessary for success at an enterprise scale. You will act as an in-field product engineer, building novel solutions, adapting architectures to enterprise realities, and engineering integrations across systems and APIs. Your work is hands-on and code-first, directly impacting how customers experience Parloa and shaping the future of the product.

$140k - $160k

Indicium AI is seeking a Senior Forward Deployed AI Engineer to join their team. This role acts as a crucial link between enterprise data systems and advanced AI execution, embedding directly with client leadership. You will be responsible for transforming complex data landscapes and operational workflows into robust, production-grade multi-agent platforms, real-time retrieval systems, and LLM evaluation architectures. This is a hands-on "builder-consultant" position for engineers who are passionate about both technical excellence and delivering tangible business impact.

$180k - $240k

Indicium AI is seeking a Forward Deployed Software Engineer to anchor its expansion into the US market. Based in New York, this role involves embedding directly within tier-one client engineering organizations to transform their developer experience, modernize SDLC workflows, and co-engineer production systems. This is a player-coach position that requires hands-on engineering expertise, executive credibility, and commercial acumen to drive account growth. You will be supported by specialized delivery pods and have direct leadership access.

$180k - $240k

NVIDIA is seeking a Senior Software Engineering Manager to lead the development of a production-quality reinforcement learning (RL) ecosystem. This role involves building and extending RL post-training frameworks and the underlying systems that enable modern AI to reason, use tools, and act as agents. You will be responsible for setting strategy, building and managing a globally distributed team, and translating technical and customer signals into clear engineering priorities. The work spans various RL frameworks and their supporting systems, requiring deep systems expertise to ensure reliability and scalability across GPUs, CPUs, networking, and storage.

$272k - $431k

We are building the software infrastructure for the next era of scientific discovery, believing that AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make this possible. This role involves translating complex research into software that scientists use for real discovery, working across research, engineering, and product teams. You will translate learnings from research collaborations into feedback on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

$140k - $270k

Salesforce is seeking Forward Deployed Engineers (FDEs) to focus on Data 360, a real-time data engine that unifies data from various sources. In this hands-on role, you will configure, build, test, and deploy Data 360 within enterprise customer environments. You will translate approved solution designs into working implementations across data ingestion, harmonization, identity resolution, insights, activation, retrieval, security, and operational readiness. This role also involves deep data engineering for Agentforce, focusing on RAG, vector search, MCP, and agent-to-agent integration, ensuring agents are grounded in accurate, real-time enterprise data. You will collaborate with a delivery team including architects, deployment strategists, and customer technical teams, working on engagements that may range from proofs of concept to production rollouts and stabilization. This is a practical data and software engineering position requiring direct building within customer environments using SQL, Python, and Apex.

$89k - $288k

As a Forward Deployed Engineer (FDE) focusing on Agentforce Operations, you will be a hands-on technical builder responsible for designing, constructing, and deploying enterprise-grade agentic AI solutions directly within customer environments. This role involves working within an agile deployment pod to connect advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated workflows into production.

$89k - $288k

Thinking Machines is building AI that extends human will and judgment, focusing on training frontier models, enabling user customization, and crafting interfaces for human-AI communication. As a safety researcher, you will ensure our models are safe and trustworthy by investigating how models handle harmful requests, what they learn from data, and how training influences their behavior. This role involves both research and hands-on technical work, exploring the science behind model behaviors and designing experiments to guide training and evaluation processes.

$350k - $475k

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 building the data systems behind frontier coding models' initial training. You will work on large-scale crawling, data platform, and pipeline infrastructure to transform raw data into training datasets, enabling fast and reliable iteration for researchers. The teams ensure the right data, in the right form, reaches training clusters on time and at the required quality bar, by building models, high-performance pipelines, and running experiments to validate data quality.

Anthropic

Our Partner Experience team is building an AI-native operating model that includes a partner portal, CRM workflows, enablement and certification platforms, and trackers. This role will focus on designing, building, and running agentic workflows that sit on top of these systems. You will create Claude-powered agents and automations to handle tasks such as triaging partner applications, drafting communications, syncing data across tools, and surfacing deal signals, ultimately taking routine operational work off the team. This is a hands-on builder role where you will ship working automations weekly, own them in production, and continuously expand the team's capabilities without increasing headcount.

$215k - $300k

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and integrated systems to power frontier models. This role focuses on building the low-level device runtime for OpenAI's custom AI accelerators. You will be responsible for software that schedules kernel launches, manages device memory, coordinates synchronization, and provides abstractions to higher-level systems. This position requires close collaboration with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior, utilizing and improving simulation tools for development and debugging.

$266k - $445k

OpenAI

OpenAI's Hardware organization is developing AI-native silicon and system-level solutions for advanced AI workloads, aiming to power the next generation of frontier models. This role focuses on building the model runtime within the inference engine that executes complex models at scale on OpenAI's custom silicon. The runtime acts as a crucial intermediary between models and the serving software stack, translating inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime, shaping how new model capabilities map onto the platform and accelerate performance.

$266k - $445k

As a Developer Platform engineer, you will directly contribute to the foundational pieces that make Notion extensible and connected. You will build tools, APIs, and platform experiences that help customers connect Notion to the world, bringing their apps, data, and workflows into one workspace. Your work will make it easier for developers, admins, and builders to create reliable integrations and automations on top of Notion. You will be a key player in building the robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions that accelerate other Notion engineering teams and end-user-facing functionality that enables toolmaking ubiquity. You will be presented with challenging technical problems, as Notion’s product needs are complex. You’ll play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of Notion’s platform as we scale.

$272k - $304k