Find your next AI Engineering role

LiquidAI, spun out of MIT CSAIL, is building general-purpose AI systems designed for efficient operation across various deployment targets, from data centers to on-device hardware, prioritizing low latency, minimal memory usage, privacy, and reliability. We partner with enterprises in consumer electronics, automotive, life sciences, and financial services. As a rapidly scaling company, we are seeking exceptional individuals to join our team. This role is crucial for proving our Liquid Foundation Models (LFMs) on silicon, enabling them to unlock the full capabilities of GPUs, NPUs, and CPUs. You will be instrumental in lowering our models onto partner silicon, profiling their performance, and generating evidence for partners and their customers.

Overview.ai is seeking an experienced Machine Vision Applications Engineer to lead complex vision applications from initial feasibility through production deployment. This role involves being the go-to technical expert for optics, lighting, image acquisition, and inspection performance, working hands-on in the San Francisco lab and directly with customers. You will build vision systems, evaluate hardware, lead proof-of-concept testing, troubleshoot inspection problems, and influence customer deployments and product development. The ideal candidate has a proven track record of solving challenging machine vision problems in industrial environments and applying that expertise to AI-powered inspection.

$150k - $190k

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Maritime Digital Production (MDP) team builds and deploys the full technology stack for Anduril's shipbuilding factories, including data infrastructure, manufacturing execution systems, scheduling engines, and AI systems. This role is for a Machine Learning Engineer on the Applied Intelligence initiative, acting as a bridge between ML research and production operations. You will own the infrastructure that brings ML prototypes to production-grade systems, working at the intersection of data engineering, MLOps, and production operations. The role requires translating ML requirements into production infrastructure, coordinating across teams, and serving as an on-call owner for deployed ML systems, ensuring AI applications function reliably 24/7 in real manufacturing environments.

$220k - $292k

Mirage is an AI video company focused on making creation dramatically easier by building multimodal agents that turn creative direction into edits, rendering engines that composite video and graphics, and generative video models. Our technology, including Captions (a creative workspace) and Tesseract (a video engine for AI agents), is now available more broadly through APIs. This role focuses on designing and building agentic systems that power creative workflows for short-form video, shaping how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for users. You will experiment with emerging models and techniques to bring these experiences to life in production, working across product, machine-learning, and systems engineering to own problems end-to-end and help define how our agents are built and deployed.

$175k - $300k

As an AI engineer on the CRAFT team, you will bring research into production and build products across our roadmap, including tools for agent evaluation and continuous improvement. You’ll own features from the user experience through backend services and model integrations. You’ll turn research in post-training and model evaluation into products that help customers understand and improve their models. We’re looking for strong product instincts to translate research methods into intuitive workflows and delightful user experiences. You’ll work closely with researchers and customers to define problems, make practical tradeoffs, and deliver products in an evolving space. CRAFT is a small team with significant autonomy over our roadmap and priorities.

$182k - $242k

Gong is seeking an engineer to build the foundational systems for its Talent Acquisition team. This role is a 0-to-1 build, focused on creating automations, integrations, and AI-powered workflows to connect disparate systems like HRIS, ATS, and interview intelligence tools. The goal is to provide recruiters and hiring managers with a unified view of candidate and employee data, enabling faster, data-driven decisions without manual intervention. You will be responsible for shipping functional systems that improve efficiency and provide actionable insights, rather than focusing on traditional recruiting tasks.

$111k - $175k

Sygaldry Technologies is developing quantum-accelerated AI servers to dramatically speed up AI training and inference. By merging quantum computing with AI, the company aims to accelerate the development of superintelligence and ensure its efficient and affordable operation. Their unique approach involves integrating multiple qubit types into a single, fault-tolerant architecture to achieve the necessary cost, scale, and speed for advanced AI applications. Sygaldry is at the forefront of new discoveries in physics, engineering, and AI, tackling complex challenges with a grounded, optimistic, and rigorous culture. They are seeking individuals passionate about defining the future at the intersection of quantum and AI and driving its global impact.

$90k - $120k

Glean is seeking Machine Learning Engineers to join the Enterprise Brain team, focusing on building proactive AI products that revolutionize enterprise workflows by automating tasks and enhancing user productivity. This role involves leveraging deep user understanding and state-of-the-art enterprise graphs, utilizing LLMs, advanced ML techniques, agent orchestration, and cutting-edge ranking methods. You will contribute to a secure, open platform that redefines how enterprises find, use, and act on knowledge, with a focus on enterprise trust and scalability.

$200k - $280k

Glean is seeking a Tech Lead Manager of AI Evaluations to lead a team of applied AI scientists and engineers. This role is crucial for developing the evaluation strategy and platform that ensures Glean ships reliable and delightful AI experiences. You will integrate evaluation into the development and operation of models, harnesses, assistants, and agents. The position involves translating AI/ML research into robust evaluation systems, building scalable infrastructure for evaluations, and collaborating with R&D, product, and marketing teams to improve products based on evaluation outcomes.

$250k - $350k

Glean is seeking creative engineers to own and launch user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements, and overseeing greenfield features from inception to launch. You will work within a rapidly growing startup, contributing to systems used daily across major platforms like Microsoft Teams and Zoom. The focus is on shipping agentic capabilities on an open, extensible stack, ensuring enterprise-grade trust and making every employee AI-fluent.

$140k - $265k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

Glean is seeking a Tech Lead for its Admin Console team to engineer a critical product surface that enables customers to deploy, govern, and scale Glean across their organizations. This high-impact, full-stack role involves guiding architecture, collaborating with product and design, and growing a strategically important team. The Admin Console serves as the control plane for enterprise activation, admin confidence, and scalable rollout, allowing admins to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a central hub. As Glean transitions into an AI platform, this team's focus is expanding from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$200k - $300k

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering, and business intelligence groups. This is an applied science role based in our San Francisco office. You will collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to assist rigorous decision-making across all relevant product domains. You will develop and maintain our A/B experimentation platform based on stakeholder feedback, and write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management, and design teams. You will also conduct end-to-end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. You will break down end-to-end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. You will design, develop, and own best practices, tools, and processes across various evaluation problems, e.g., query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, and industry benchmarking.

$180k - $330k

Glean is the Work AI platform that helps everyone work smarter with AI. Our platform has evolved from enterprise search into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform. With extensive SaaS connectors, flexible LLM choice, and robust APIs, Glean provides the infrastructure to govern, scale, and customize AI across an organization without vendor lock-in. We are redefining how enterprises find, use, and act on knowledge by mapping relationships between people, content, and activity to deliver personalized, context-aware responses. This foundation powers our agentic capabilities, enabling AI agents to automate real work across teams by accessing a broad range of enterprise data.

$57k - $69k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is the Work AI platform that helps everyone work smarter with AI, evolving from enterprise search to a full-scale Work AI ecosystem. It powers intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform with over 100 enterprise SaaS connectors and flexible LLM choice. Glean redefines how enterprises find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, enabling deeply personalized, context-aware responses and agentic capabilities to automate real work across teams. As a founding member of Glean's forward deployed team, you will operate with the autonomy and accountability of a founder. Your job is to discover and build Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of the world's most influential companies and with Glean's own engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape what Glean becomes, with the best of what you build shipping to every Glean customer.

$160k - $270k

Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.

$200k - $300k

Glean is seeking creative engineers to own and launch delightful user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements to deliver intuitive experiences for modern mobile and desktop browsers. You will oversee greenfield features from inception to launch, architecting robust REST APIs and writing efficient, maintainable code. This is an opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$140k - $265k

Glean is seeking a Software Engineer, Developer Productivity to enhance how our engineers build, test, and ship software. This role involves optimizing our multi-language codebase, which is powered by Bazel and runs on GitHub Actions with cloud remote execution. You will be instrumental in designing and refining build systems, CI/CD pipelines, and developer tools. A key aspect of this position will be enabling engineers to effectively utilize AI-powered coding and productivity tools, ultimately reducing friction in daily workflows, scaling our infrastructure, and accelerating the entire engineering team's progress with confidence.

$140k - $220k

Glean is seeking a Software Engineer to join its Data Foundations team. This team is responsible for the entire data ingestion and management layer that powers Glean's Search, AI Assistant, and Agent products. Your work will directly impact the quality, freshness, and trustworthiness of the knowledge that all Glean users interact with daily. You will be instrumental in building and scaling connectors to various SaaS and on-prem systems, handling complex data synchronization, and transforming raw enterprise content into structured representations optimized for search and LLM reasoning. This role offers the opportunity to contribute to advanced data source capabilities and expand AI product functionality through deep integrations.

$180k - $300k

Glean is seeking a Software Engineer to join our Platform Infrastructure team, which focuses on customer setup and deployment, particularly in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and transform deployment workflows into reliable, repeatable productized experiences for customers. This role is ideal for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions.

$200k - $270k

Glean is seeking a Cloud Deployment Software Engineer to join their Platform Infrastructure team. This role focuses on customer setup and deployment, particularly within complex cloud, hosting, and security environments. The engineer will be instrumental in building systems that bootstrap cloud accounts and projects, configure authentication, and transform deployment workflows into reliable, repeatable productized experiences for customers. This position is ideal for a backend engineer with a passion for cloud infrastructure, networking, infrastructure as code, and solving real-world deployment challenges through elegant software abstractions.

$200k - $270k

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context like code and memory, and the supporting infrastructure and documentation. As part of a rapidly growing startup, this role involves working across multiple layers of the stack, from backend services to developer tools and SDKs.

$210k - $300k

Glean is seeking driven engineers to tackle cutting-edge challenges in data and AI security and governance. In this fast-paced startup environment, you will empathize with customer needs, research the domain, and devise novel solutions to complex problems. You will collaborate with product managers and designers to balance engineering constraints with requirements, delivering intuitive and reliable experiences for enterprises to ensure user safety.

$140k - $265k

Glean is seeking software engineers to contribute to building a leading search and assistant product for the workplace. Engineers will work across the technology stack, focusing on areas such as generative AI, Retrieval Augmented Generation (RAG), query and document understanding, domain-adapted language models, natural language question-answering, and evaluation. The role involves close interaction with customers to understand their challenges and applying the most effective tools to solve them.

$175k - $270k

Glean is seeking engineers to contribute to building a leading search and assistant product for the workplace. Engineers on this team will work across the technology stack, focusing on areas such as query understanding, document understanding, adapting language models to specific domains, natural language question-answering, and evaluation. The role involves close interaction with customers to understand their challenges and applying the most effective tools, whether simple or complex, to address them.

$140k - $265k

Glean is seeking a Machine Learning Engineer to enhance the quality of its AI Assistant and autonomous agents. This role bridges production machine learning, LLM-powered systems, and product engineering, focusing on developing, evaluating, and refining assistant experiences for reliability and usefulness within enterprise workflows. You will tackle applied challenges in agent quality, evaluation, personalization, retrieval, and orchestration, with an emphasis on shipping production systems and improving the assistant's capabilities over time through enhanced signals, feedback loops, and end-to-end execution.

$180k - $205k

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