Find your next AI Engineering role

Fal

fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to move from idea to production at scale. We are seeking a hands-on, production-focused Applied Machine Learning Engineer to take technical ownership of the model layer powering our next-generation generative media platform. This role bridges cutting-edge generative research and scalable, consumer-facing products, involving extending state-of-the-art open-source models and maintaining our fleet of generative model APIs.

$180k - $230k

SpaceXSI is building one of the world's largest AI supercomputers from the ground up. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it. You will work across the full stack—from low-level GPU kernel optimizations and Linux kernel internals to massive-scale orchestration and virtualization—to make training and inference at SpaceXSI as fast, reliable, and scalable as possible. This is a broad, high-impact role that combines hardcore supercompute and compute infrastructure work. Your contributions will directly accelerate Grok's training speed and overall AI progress.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe, creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. You will own and elevate our mission-critical research platform that directly accelerates SpaceXSI's frontier work. The evals team creates and executes instruments for measuring model capabilities and behaviors, used to clean datasets, provide feedback for experiments, and track growth throughout training. We also diagnose why agents fail and how to make improvements, managing execution infrastructure, designing data sets and grading schemes. You will design, build, and ship delightful and bulletproof systems that engineers love to use every day, valuing strong attention to detail, first principles reasoning, and great taste.

$175k - $275k

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. As a Member of Technical Staff - Model Training, you will work on the most critical modeling challenges at any given time, and you will get clarity on your first project before an offer.

$180k - $600k

SpaceXSI is building Super Intelligence to help humanity understand the universe. We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with an engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

$180k - $440k

SpaceXSI is seeking an experienced Governance, Risk, and Compliance (GRC) Engineer to scale our security and AI governance compliance posture. This role involves setting organizational standards, designing and implementing controls, and automating compliance processes to enable a fast-moving team to ship safely. The ideal candidate will possess deep knowledge of modern security and AI frameworks, translating control requirements into technical implementations, and partnering with engineers to integrate compliance into architecture and CI/CD pipelines. You will collaborate across engineering, legal, product, and leadership to ensure our AI systems are audit-ready for enterprise, commercial, and public-sector environments.

$152k - $258k

You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

$150k - $450k

SpaceXSI is building the high-performance inference platform that serves Grok to millions of users daily with exceptional speed and reliability. As a Member of Technical Staff - Inference, you will be instrumental in designing and optimizing large-scale model serving systems from the ground up. This includes owning distributed infrastructure components like global KV cache, continuous batching, load balancing, and auto-scaling, as well as delving into deep low-level optimizations such as GPU kernels, quantization, and speculative decoding. This is a high-impact role where your contributions will directly influence the speed and reliability of user interactions with Grok at a massive scale.

$180k - $440k

SpaceXSI is building Super Intelligence to help humanity understand the universe, and you will join the multimodal team to push toward superhuman multimodal intelligence. This role involves advancing understanding and generation across modalities—image, video, audio, and text—spanning the full stack from data curation to end-to-end product experiences. You will collaborate cross-functionally to deliver frontier capabilities in multimodal reasoning, world modeling, tool use, agentic behaviors, and interactive human-AI collaboration, contributing to models that can see, hear, reason about, and interact with the world in real time.

$180k - $440k

The Imagine team is redefining AI-driven media experiences for Grok users worldwide. As a Product Safety Engineer on the Imagine team, you will build the critical safety systems and infrastructure that ensure Grok’s multimodal generation capabilities (images, video, audio, and beyond) are powerful, delightful, and responsibly deployed. You’ll design and scale safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. Your work will directly shape how millions of users experience generative media — balancing rapid innovation with rigorous safety, trustworthiness, and alignment with SpaceXSI's mission. If you’re a driven engineer passionate about AI safety, content integrity, and building robust systems that protect users without stifling innovation, this is your opportunity to make a lasting impact at the frontier of multimodal AI.

$180k - $440k

As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.

$180k - $440k

SpaceXSI 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 is at the intersection of engineering and data operations, focusing on ensuring engineering teams receive high-quality data for training and evaluation. You will partner with model teams, design projects to capture meaningful signals, and drive data yield and evaluation lift, influencing data strategy through hands-on technical work.

$144k - $220k

PermitFlow is redefining the construction industry with applied AI, tackling complex challenges in permitting, licensing, inspections, and project closeouts. Our AI agent workforce accelerates development for the nation's builders, having already delivered significant improvements in speed, accuracy, and visibility for over $20 billion in development. As the U.S. enters a new capex supercycle, joining PermitFlow means building the core AI infrastructure that will drive future reindustrialization. We are seeking a Staff/Principal Engineer to develop our core AI Assistant, its supporting infrastructure, and workflow agents, requiring both UX and technical expertise in a complex domain.

$250k - $300k

We are seeking a Staff Full Stack Engineer to lead the technical direction of the team responsible for Alpaca's Trading API product. This product serves developers, traders, and institutions, and the team owns the entire customer experience, from platform access and account security to the applications used for trading. The role involves working across the full stack, including customer-facing trading applications, identity and permission systems, and integrations for partner apps and AI agents. This is a high-trust domain where system defects can have significant consequences, so we are looking for an engineer with proven experience in building and owning critical systems like identity, authorization, account models, and financial applications. While you won't manage people directly, you will lead through architecture, code, design reviews, and mentorship, acting as the senior technical anchor for the team.

You.com is seeking a Developer Evangelist to build in public and make their Search, Contents, and Research APIs the go-to retrieval layer for AI agents, coding tools, and agent frameworks. In this role, you will create demos, sample applications, integrations, and open-source contributions, sharing your work through various developer channels like GitHub, Discord, Reddit, and livestreams. You will also be the technical and creative lead for hackathons and developer events, driving developer adoption and community engagement. This position is part of the Developer-Led Growth (DLG) team, with success measured by tangible developer adoption and retention.

$180k - $220k

OpenAI

We are seeking a product-oriented engineer to build and scale our cloud computer infrastructure, aiming to provide every user with access to an agent that has its own computer in the cloud. This role involves developing novel solutions for challenges such as authentication, user takeover, and enterprise network access. You will be responsible for the systems that provision, run, and manage agent environments, ensuring they are reliable, responsive, and efficient as demand grows. This position blends deep infrastructure knowledge with a strong focus on user experience, requiring collaboration with research and engineering teams to bring new computer-use capabilities into production across container orchestration, backend services, and product experiences.

$255k - $445k

OpenAI

We are seeking a Machine Learning Engineer to develop and productionize new classification and evaluation capabilities. This role involves translating open-ended questions about model behavior into well-defined ML problems, building effective methods, and rigorously assessing their reliability. You will own classifiers throughout their lifecycle, from supervised fine-tuning and distillation to evaluation, deployment, and production inference. Collaborating closely with researchers to identify valuable problems and with software engineers to scale promising approaches will be key to success.

$381k - $510k

Podium is seeking a Senior Director of Engineering to lead the AI Agents product, transforming it from a rapidly growing platform into the industry's leading agent infrastructure for local businesses. This is a hands-on leadership role that involves both building new capabilities from scratch and scaling existing systems. You will be responsible for architecting and deploying the systems that enable our agents to reason, act, and improve over time, while also building the team and organizational capacity to manage these systems reliably at a massive scale across diverse customer workflows and business verticals.

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. In this role, you will develop the critical evaluation infrastructure that researchers rely on to understand model capabilities, inform training decisions, and assess readiness for release. Your work will encompass evaluation authoring, distributed execution, and results analysis, with a specific emphasis on pre-training. You will collaborate closely with researchers to enhance the speed, reliability, and ease of use of evaluations, ensuring that the outcomes accurately reflect the models being assessed.

Snorkel AI is seeking experienced Software Engineers at Senior/Staff levels to join their AI Platform team. This role involves building the core infrastructure and systems that power AI development at scale, focusing on synthetic data generation, evaluation, agentic workflows, simulation environments, and LLM infrastructure. You will work on systems designed to make inherently non-deterministic workloads observable, reproducible, measurable, and scalable, enabling rapid experimentation and reliable production systems for AI models and agents.

Datadog AI Research (DAIR) is seeking a Research Manager to lead a team focused on fundamental research in post-training and autonomous agents. This role involves advancing reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating in complex real-world systems. The manager will provide technical leadership, mentor researchers and engineers, shape research direction, and collaborate with product and engineering teams to translate research into products. This position is ideal for an experienced researcher or technical leader who wants to maintain hands-on research involvement while leading a high-performing team.

$244k - $305k

We are seeking a Junior Developer to join the Xsolla Partner Network (XPN) team, focusing on an automated content generation system. This role involves contributing to all stages of development, from stabilizing the existing vertical video pipeline for social media platforms like YouTube Shorts, TikTok, and Instagram Reels, to developing agentic architecture and building analytics. You will work with cutting-edge generative models and agentic tools on a real production product, gaining insights into the games industry and the creator economy. The position offers the opportunity to make independent technical decisions, build expertise in generative AI, and grow into a technical owner role.

Applied Intuition Defense is seeking a Perception Engineer to join their expert team, focusing on advancing perception model performance across various domains including maritime, land, and air-to-surface. This role involves developing custom detector and classifier architectures, leveraging proprietary MLOps tooling for rapid iteration on large datasets, and utilizing frontier AI and extensive token budgets. The position requires building and optimizing perception models for high accuracy and real-time performance on edge devices, as well as contributing to the entire perception stack from labeling tools to simulation. Collaboration with a world-class AI talent pool and scaling datasets through advanced generation techniques are key aspects of this hands-on, full-stack position.

$125k - $175k

n8n is seeking an Internal Context Engineer to build and operate the company's shared context infrastructure, referred to as the "company brain." This role is crucial for enabling both people and AI agents to reliably access accurate, well-structured, and appropriately governed knowledge across the organization. You will be responsible for shaping how knowledge is structured, contributed, accessed, and maintained, forming the context layer for n8n's agentic future. This involves designing the information architecture, onboarding and enabling teams to contribute knowledge, operating the context platform, and building for long-term trust and reuse.

OpenRouter is seeking its first AI Inference SRE to ensure the operational health of its provider supply. This role will focus on making sure every endpoint is fast, correct, and available, and that problems are detected and routed around before customers are impacted. The SRE will be responsible for building and owning monitoring systems, improving detection and failover mechanisms, and managing incident response for provider-related issues. This position involves holding providers accountable through telemetry and SLO reporting, detecting quality regressions, automating manual operational tasks, and building tooling for capacity planning and launch readiness.

$245k - $295k

You.com is building the AI Search Infrastructure that powers modern AI systems, aiming to create a trusted knowledge layer for agents, applications, and enterprises. Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems. We are seeking a Senior Backend Engineer to own and scale the inference gateway, which is the critical layer that handles all model calls. This role involves routing, fallback, caching, metering, and enforcement within strict latency budgets, sitting between model serving and product development.

$200k - $250k

Asana is seeking a Staff Software Engineer to enhance our AI developer experience, enabling engineers to boost their productivity with AI. You will be instrumental in shaping the technical direction and developing advanced AI-powered tools for editors, IDEs, CLIs, code review, and coding agents. This role is based in our New York City office and follows an office-centric hybrid schedule, with specific in-office days outlined during the interview process.

$248k - $282k

Brex is seeking a Data Engineer to join their intelligent finance platform. In this role, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You will collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You will also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

$121k - $151k

The Agent Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world.

$234k - $300k

Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. They connect LLMs to high-quality, trustworthy web content, enabling developers to build intelligent and informed agents. Tavily works with innovative AI teams, from startups to large enterprises, serving as the link between LLMs and the real world.

$147k - $224k

We are seeking a Senior Software Engineer to design and build the billing platform for a novel search engine tailored for agentic AI consumption. This role will own the systems that accurately translate product usage into revenue, supporting flexible billing models such as usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Ensuring correctness is paramount, as every event must be precisely measured and every invoice must be accurate to the cent.

$147k - $224k

Toast is seeking a Staff Software Engineer to join the Developer Experience team. This role will focus on setting the technical direction for how Toast engineers build software, identifying and solving high-leverage problems within the developer workflow. You will design and build solutions that impact hundreds of services and teams, with a particular focus on defining the future of AI-native developer experiences. The Developer Experience team builds the tools and platforms that Toast engineers use daily, including local development environments, build tooling, shared libraries, internal developer portals, and testing frameworks. Our goal is to empower every engineer at Toast to be faster, more independent, and more confident in their work.

$151k - $309k

The Datadog Agent is our flagship open-source project and a critical part of how customers experience Datadog, with hundreds of engineers contributing annually across multiple languages and platforms. As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. You will guide the evolution of our software development lifecycle as AI coding tools reshape how software is developed, while strengthening our approach to software supply-chain security, build infrastructure, correctness, and performance. This is an opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog.

$244k - $305k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€295k - €355k

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

€235k - €295k

Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will focus on improving latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure, from data and model training to production deployment. This role focuses on the infrastructure for large-scale AI training and model post-training capabilities, specifically for frontier model improvement. The work involves distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. The Senior Machine Learning Engineer will own ML work end-to-end, translating ambiguous goals into concrete experiments, implementing and debugging training and RL recipes, building supporting systems, and delivering measurable improvements in model quality, throughput, and reliability. This is a hands-on role requiring independent debugging of both model behavior and distributed training failures.

$195k - $262k