Find your next AI Engineering role
2515+ open roles · 71+ companies hiring
2515 open positions
Engagement Manager, Public Sector
Scale AI
Scale AI is seeking an Engagement Manager to lead and coordinate the delivery of agentic workflows for a national security customer. This role involves owning or supporting a large account plan, managing day-to-day customer execution, and ensuring an excellent customer experience. The ideal candidate will possess a blend of program leadership, customer relationship building, technical fluency, and contract awareness, thriving in fast-paced, ambiguous, and mission-driven environments. You will manage customer relationships from executive to end-user levels, collaborate with customers to scope AI/ML use cases, and lead cross-functional project teams to achieve customer objectives. A proactive, "whatever-it-takes" mentality is crucial for identifying customer needs and ensuring success.
$196k - $279k
Engagement Manager (Hawaii), Public Sector
Scale AI
Scale AI is seeking an Engagement Manager to lead and coordinate the delivery of agentic workflows for a national security customer. This role involves owning or supporting a large account plan, managing day-to-day customer execution, and ensuring an excellent customer experience. The ideal candidate will possess a blend of program leadership, customer relationship building, technical fluency, and contract awareness, thriving in fast-paced, ambiguous, and mission-driven environments. You will manage customer relationships, scope use cases with customers, lead cross-functional project teams to achieve AI/ML objectives, and proactively identify customer needs to ensure success.
$166k - $249k
AI Strategy Consultant, Frontier Tech
Scale AI
As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.
Strategic Projects Lead, Generative AI
Scale AI
Scale's Generative AI business unit is experiencing significant growth. As a Strategic Projects Lead (SPL), you will spearhead initiatives projected to generate over $XXM in new revenue. This demanding role requires versatility, with responsibilities spanning Operator, Product Manager, and customer-facing Engagement Manager. We seek individuals with a strong entrepreneurial spirit, a willingness to delve into details, and an enthusiasm for impactful work that fosters accelerated career progression.
$112k - $190k
Senior / Staff Machine Learning Research Scientist, Agents
Scale AI
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
$302k - $378k
ML Research Engineer, ML Systems
Scale AI
Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. This platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs, as well as data quality evaluation. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development, optimizing it to enable the next generation of LLM training, inference, and data curation. If you are excited about shaping the future of AI via fundamental innovations, we would love to hear from you!
$190k - $237k
Machine Learning Research Scientist, Reasoning
Scale AI
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
$252k - $315k
Machine Learning Research Scientist, Post-Training
Scale AI
Scale works with leading AI labs to accelerate progress in GenAI research, focusing on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. This role involves developing novel methods to improve the alignment and generalization of large-scale generative models, collaborating with researchers and engineers on best practices in data-driven AI development, and providing technical and strategic input to foundation model labs for the next generation of AI models.
$252k - $315k
Machine Learning Fellow - Human Frontier Collective (US)
Scale AI
The Human Frontier Collective (HFC) Fellowship is a fully remote, six-month independent contractor opportunity designed to bring together top researchers and domain experts to collaborate on high-impact AI projects. Fellows will apply their expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with an interdisciplinary network of leading thinkers. This role offers a flexible schedule with 10-40 hour work weeks and competitive pay based on project scope and skillset. Candidates must be authorized to work in the United States, as visa sponsorship is not provided.
Machine Learning Fellow - Human Frontier Collective (UK)
Scale AI
The Human Frontier Collective (HFC) Fellowship is a program that brings together top researchers and domain experts to collaborate on high-impact AI projects. As an HFC Fellow, you will apply your expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with a diverse network of leading thinkers. This is a fully remote, independent contractor opportunity with a flexible schedule, offering a chance to contribute to influential ML projects, co-author research publications, and develop your AI expertise within a supportive community.
Machine Learning Fellow - Human Frontier Collective (Canada)
Scale AI
The Human Frontier Collective (HFC) Fellowship is a six-month, fully remote, independent contractor opportunity designed to bring together top researchers and domain experts to collaborate on high-impact AI projects. Fellows will apply their expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with an interdisciplinary network of leading thinkers. This role offers a flexible schedule, allowing fellows to set their own hours (10-40 hours per week), and provides opportunities for professional development through review projects, advisory roles, and research, contributing to academic visibility and professional recognition.
Product Manager, Sensitive Deployments
OpenAI
OpenAI is seeking a Product Manager to lead the product strategy for sensitive deployments, focusing on contexts with high operating bars due to model capability, customer settings, privacy constraints, and misuse potential. This includes government, high-stakes, regulated enterprise, zero data retention, and agentic workflow environments. The role involves building reusable integrity capabilities for agentic detection and enforcement in these sensitive areas, with a focus on high-consequence use cases and broader deployment-readiness for high-risk domains like healthcare.
Research Engineer, Multimodal Reasoning For Information Literacy
Google DeepMind
Google DeepMind's research team is dedicated to tackling complex challenges in online information quality, advancing the state of the art by developing innovative solutions to detect manipulated media and misleading narratives. The team leverages interdisciplinary work spanning provenance analysis and the creation of tools for AI-assisted information literacy, with a focus on ensuring the integrity of digital discourse and a safer online environment. This role involves researching and building multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media on the internet, with a passion for advancing information literacy using machine learning and computational techniques.
Senior Technical Support Engineer
Langchain
LangChain is seeking a Senior Technical Support Engineer to lead customer support for highly technical users, including AI engineers and infrastructure architects. You will be instrumental in helping teams debug production LLM applications and agents, enhance AI observability and evaluations, and resolve critical issues. This role also involves defining world-class technical support standards for modern AI platforms and contributing to the evolution of our products and documentation.
$130k - $195k
Software Engineer, Agents
decagon
Decagon is seeking an engineer to join the Agent Engineering team, which deploys mission-critical AI agents to customers, impacting millions of users and driving company growth. In this role, you will build on the industry-leading AI agent platform, collaborate directly with customers, and devise long-term, scalable solutions to deliver magical support experiences. You will have complete ownership and autonomy in building and shipping best-in-class AI agents from initial implementation through continuous iteration, working directly with leaders across various industries to solve user needs with reliable and intuitive AI agents. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
£125k - £180k
Staff Software Engineer, Money Partnerships
Replit
Replit is seeking a Staff Software Engineer for its Money team to lead the integration and operation of financial partnerships. This zero-to-one role involves taking partnerships from initial scoping through to reliable operation, ensuring seamless transactions for Replit's builders and their applications worldwide. You will act as the key technical liaison between Replit engineering and financial partners, including billing platforms, payment processors, and compliance vendors. This position is ideal for someone who enjoys both coding and strategic partnership discussions, understanding that early design decisions have long-term impacts on integration success.
C++ Software Engineer – Autonomous Systems
Applied Intuition
Applied Intuition is seeking a Software Engineer to join their Autonomy Framework team. This role involves developing core software systems for a cutting-edge framework that enables collaborative autonomy behaviors in multi-domain environments. You will integrate with domain-specific platforms and support multidisciplinary engineering efforts, working on foundational software for autonomous systems operating in complex, real-world scenarios. The position offers the opportunity to collaborate with autonomy engineers, domain experts, and product teams to build robust, scalable frameworks for air, ground, and maritime domains.
$10k - $20k
AI Voice Designer
sierra.ai
Sierra is seeking a technical Voice Designer to craft and implement AI voices for customer experiences, focusing on European locales. This forward-deployed role involves working directly with customers to translate their requirements into production-quality AI voices. You will collaborate with the voice platform team to implement and tune voices at scale, which includes recording and editing audio, and making code-level changes within the Sierra platform. The position requires a blend of product sensibility, design taste, customer partnership, and technical comfort with command-line tooling, sitting at the intersection of speech, brand, and engineering.
Staff Software Engineer, Backend
Harvey
As a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.
$231k - $340k
Enterprise AI Associate
Mercor
Mercor is seeking an Enterprise AI Associate to join their team. This role operates at the intersection of customer engagement, product management, and go-to-market operations, focusing on helping Mercor's largest enterprise clients successfully deploy and scale AI solutions. The ideal candidate possesses a structured, analytical mindset, thrives on high agency, moves quickly, and takes ownership of ambiguous problem statements. You will be embedded in customer engagements, working with senior leaders to understand client AI priorities and pain points, translating these needs into delivery plans, and contributing to the refinement of offerings, brand positioning, and relaying customer feedback to engineering.
Applied AI, Fullstack Software Engineer, Critical and Sovereign Institutions, Paris
Mistral AI
Mistral AI is seeking an Applied AI Engineer, Fullstack Software Engineer to facilitate the adoption of its products among customers operating in critical, sovereign, and highly regulated environments. You will be an integral part of our Applied AI Engineering team, helping drive the successful deployment of Mistral AI products for critical infrastructure, sovereign institutions, and strategic public or private-sector organizations. This is a hands-on, customer-facing engineering role where you will design, build, and deploy full-stack AI applications tailored to complex and sensitive environments, working hand-in-hand with customers from pre-sale to post-implementation.
Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi
Mistral AI
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for enterprise customers. This role involves leading project teams of Applied AI Engineers to ensure successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will serve as the primary technical point of contact for strategic customers, guiding them through the entire lifecycle from pre-sales to post-implementation, while collaborating with research, product, and engineering teams to shape future offerings. The position bridges cutting-edge AI research with real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's technological vision.
Research, Pre-Training Data
thinkingmachines
Thinking Machines Lab is seeking pre-training researchers to join their mission of advancing collaborative general intelligence. This role is central to developing the next generation of AI models by blending research with large-scale data engineering. You will be responsible for assembling pre-training datasets and data systems, designing and implementing methods for sourcing, curating, and analyzing data for quality and performance. The position involves working with automated pipelines and human-in-the-loop processes, contributing both scientific insights and production-grade code. It's an ideal opportunity for individuals passionate about the intersection of data, machine learning, and systems, and who are eager to shape the future of AI.
$350k - $475k
Research, Post-Training Data
thinkingmachines
Thinking Machines Lab is seeking researchers to bridge the gap between raw AI intelligence and useful, safe, and collaborative systems. This role focuses on post-training data research, combining human insight and machine learning techniques to capture and steer model behavior based on human preferences. You will be responsible for translating research ideas into actionable data through labeling and collection campaigns, understanding data quality science, and developing metrics to measure the impact of data and training interventions. The position also involves exploring new paradigms for human-AI interaction and scalable oversight, blending research, data operations, and technical implementation to advance human-centered AI systems. This role requires both fundamental research and practical engineering, making it ideal for individuals who enjoy deep theoretical exploration and hands-on experimentation.
$350k - $475k
Research Engineer, Infrastructure, Numerics
thinkingmachines
Thinking Machines Lab is seeking an infrastructure research engineer to design and build core systems for efficient large-scale model training, with a specific focus on numerics. This role involves enhancing the numerical foundations of their distributed training stack, optimizing precision formats, kernel optimizations, and communication frameworks to ensure stable, scalable, and fast training of trillion-parameter models. The ideal candidate will bridge research and systems engineering, possessing a strong understanding of both optimization mathematics and distributed compute realities.
$350k - $475k
Research Engineer, Infrastructure, Kernels
thinkingmachines
Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and maintain the compute foundations for large-scale language model training. This role involves developing high-performance ML kernels, enabling efficient low-precision arithmetic, and improving the distributed compute stack. You will work closely with researchers and systems architects, bridging algorithmic design with hardware efficiency, prototyping new kernel implementations, and defining numerical and parallelism strategies for scaling AI systems.
$350k - $475k
Infrastructure Engineer, Security
thinkingmachines
Thinking Machines Lab is seeking an infrastructure engineer to lead and enhance the security infrastructure for their foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. The engineer will define security controls, architecture, and tooling, integrating security by default into the platform. Collaboration with research and product teams will be key to enabling rapid progress while maintaining robust protection for models, data, and environments.
$200k - $475k
APAC People Ops Generalist - Korea
Speak
Speak is scaling rapidly across APAC, and we are seeking a People Operations Generalist to join our lean team and enhance our operational capacity across Korea, Japan, and Taiwan. This meaningful and hands-on role involves managing key aspects of the employee lifecycle, including onboarding, offboarding, contracts, HRIS, and multi-market compliance. You will be instrumental in improving and documenting processes, and over time, transforming them into scalable infrastructure that supports our growth across three markets. If you are detail-oriented and eager to make an impact at an early-stage company, this position offers a unique opportunity to shape our People Operations function.
Performance & Systems Engineer, Codex
OpenAI
The Codex team is building state-of-the-art AI systems for code generation and agentic reasoning, aiming to deploy these capabilities in products like ChatGPT and next-generation coding tools. As a Performance & Systems Engineer, you will focus on whole-system optimization across a complex stack including LLM inference, cloud orchestration, and agentic work management. Your role involves identifying and implementing high-leverage changes across infrastructure, modeling, and product layers to significantly improve the speed and cost-efficiency of Codex agents, directly impacting the experience of millions of users.
Staff Software Engineer, Developer Experience
Harvey
Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. We are a fast-scaling company with strong product-market fit, seeking individuals who want to do the best work of their careers. The Developer Experience team is crucial for maintaining our rapid growth, building CI/CD systems, internal frameworks, and platform guardrails that enable all engineers to ship AI features quickly and safely. As a Software Engineer on this team, you will create systems to maximize engineer velocity and efficiency, working across the tech stack to instill reliability, automation, and simplicity into developer workflows. You'll also have a unique opportunity to apply AI to developer productivity, shaping the future of software development within an AI-native company.
$231k - $340k
Master Scheduler
crusoe
Crusoe is seeking a Master Scheduler to establish and manage the master production schedule within a dynamic manufacturing environment. This critical role involves close collaboration with internal teams to ensure projects are initiated and completed on time, optimizing production flow and meeting customer expectations. The position requires a proactive approach to identifying and resolving issues, improving processes, and ensuring accurate resource allocation and production forecasting.
$99k - $114k
Research Internship (Winter 2027)
Cohere
Cohere is seeking a Research Intern to collaborate with researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. Interns will have the opportunity to work on various teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, or any research area relating to LLMs. This role offers a chance to broaden research connections while gaining deep experience in a growing AI startup.
Senior Software Engineer, Backend
Harvey
As a Backend Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.
$193k - $290k
Staff Software Engineer, Agents
Harvey
Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to build a generational company at an inflection point, with strong product-market fit and investor support, scaling rapidly to define a new category. The team operates with intensity, ownership, and a commitment to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer, Agents, you will be instrumental in building the systems that make AI agents indispensable to legal professionals, designing environments, managing context windows, creating tools, and developing evaluations to unlock new capabilities.
$231k - $340k
Staff Software Engineer, Agents
Harvey
Harvey is transforming legal and professional services by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a unique opportunity to build a generational company at an inflection point, with strong product-market fit and investor support, scaling rapidly to define a new category. The team operates with intensity, ownership, and a commitment to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Software Engineer, Agents, you will be instrumental in building the systems that make AI agents indispensable to legal professionals, designing environments, managing context windows, creating tools, and developing evaluations to unlock new capabilities.
$231k - $340k
Product Manager, Infrastructure
sierra.ai
Sierra is seeking a Product Manager, Infrastructure to shape the platform powering customer-facing AI agents. This role involves defining scalable, reliable, and developer-friendly abstractions for compute, storage, orchestration, and networking. You will own the performance, reliability, and scale of Sierra's systems, setting standards for latency, availability, and fault tolerance. The position also includes designing developer primitives and tooling, driving system architecture decisions through first-principles thinking, and ensuring infrastructure accelerates product velocity. You will collaborate across product, engineering, and go-to-market teams to ensure infrastructure meets evolving product needs and customer use cases.
Research Program Manager - Model Evals and Safety
Reflection ai
Reflection is a research lab dedicated to making intelligence open and accessible. This role is foundational, focusing on building model evaluation and safety functions from the ground up. The Research Program Manager will be a key leader, driving clarity, decision-making, and coherence across teams. This is a 0-to-1 opportunity to define evaluation frameworks, build operational infrastructure for model safety, and establish processes that integrate safety into the model development lifecycle.
Technical Threat Investigator, Threat Intel Engineering
OpenAI
As a Technical Threat Investigator at OpenAI, you will play a crucial role in safeguarding the company and the broader ecosystem from sophisticated adversaries. This deeply investigative position requires you to conduct complex, end-to-end investigations into threat actors to understand their methodologies, infrastructure, and integration of AI into their operations. Your insights will be instrumental in proactively identifying malicious activity and driving improvements in detection, disruption, enforcement, and safety across the organization. You will translate your findings into scalable, durable solutions by building and owning lightweight tooling, automating processes, and developing AI-assisted workflows to enhance the speed, repeatability, and effectiveness of investigations.
Member of Technical Staff - Security Engineer
Reflection ai
Reflection.AI is seeking a Member of Technical Staff - Security Software Engineer to establish our Application Security function from the ground up. This role offers significant autonomy to design and implement solutions across various Security Engineering projects, including AI agent incident detection and response, and internal AI agents. The ideal candidate is a self-starter who excels in high-ownership, low-structure environments and possesses a strong "0 to 1" mindset, ready to build and innovate within a talent-dense team focused on making intelligence open and accessible.
Technical Deployment Lead - Singapore
OpenAI
This is a founding role for a Technical Deployment Lead (TDL) at OpenAI, based in Singapore. The TDL will define how OpenAI delivers complex AI systems to customers, owning their build, shipment, and adoption. This role involves translating business outcomes into technical plans, managing day-to-day execution across engineering teams, and partnering with customers to ensure delivery aligns with their goals. It requires deep technical project management expertise, extreme ownership, and the ability to immerse in customer workflows to solve complex engineering problems at pace. Success will be measured by the measurable value delivered to customers, adoption rates, and the impact of field insights on OpenAI's product and research roadmaps.
$25k - $50k
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.