Find your next AI Engineering role

Mercor is a leading AI data company building the layer between human expertise and frontier models. We are seeking a foundational hire for our new Data Platform team to own the infrastructure that every data-driven team at Mercor runs on, including Snowflake, Fivetran, Airflow, and Hex. This role is crucial in setting the standards for data organization, access control, cost management, and operational reliability. You will work alongside researchers, operators, and AI companies at the forefront of shaping AI systems.

SpaceXAI is seeking an experienced Mechanical Commissioning Lead to oversee the buildout, startup, and handover of mechanical systems for their high-performance data centers. This senior, hands-on leadership role involves directing commissioning, testing, troubleshooting, and turnover of critical cooling, air handling, and fluid distribution systems essential for next-generation AI supercomputing infrastructure. You will lead a team of commissioning technicians and collaborate closely with construction, engineering, operations, contractors, and vendors to ensure the delivery of safe, reliable, and high-quality mechanical systems. This is a full-time, onsite position requiring extensive travel to data center construction sites across the United States.

SpaceXAI is seeking a Mechanical Commissioning Engineer to manage the buildout, startup, and handover of mechanical systems for their high-performance data centers. This is a hands-on role focused on commissioning, testing, and troubleshooting critical cooling, air handling, and fluid distribution systems that support next-generation AI supercomputing infrastructure. You will collaborate with construction, engineering, operations, contractors, and vendors to ensure the delivery of safe, reliable, and high-quality mechanical systems. This is a full-time, onsite position requiring travel to data center construction sites across the United States.

Cloudflare is seeking builders to join their mission of improving the Internet. This role focuses on enhancing network resilience and reducing operational toil within Cloudflare's global network. You will be responsible for the technical operation and engineering of the core data center network, including planning, installation, and management. The position involves building tools to automate operational tasks, streamline deployments, and provide a platform for other engineering teams, with a strong emphasis on an "automate everything" approach to create failure-resistant and scalable systems. You will also play a key role in system design, bringing ideas from conception to production.

$150k - $206k

Anthropic

Anthropic is seeking an experienced Revenue Systems Engineering Director to lead the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as the company scales globally. This role will serve as the technical lead for revenue systems within the ERP ecosystem, focusing on automating revenue recognition processes and integrating billing, sales, and financial systems. The ideal candidate will drive innovation, including the integration of AI for revenue operations, while ensuring system reliability and adherence to best practices.

Monte Carlo is seeking an Applied AI Engineer to build the products that ensure the trustworthiness of enterprise AI agents. This role involves taking ambiguous problems from research and prototyping through to production, integrating them into the platform alongside engineering and data science teams. The position is critical due to the rapid growth of agent observability, moving from a roadmap item to a revenue driver.

Reflection ai

Reflection is building the trusted data backbone for the world's most capable open-weight AI systems. The Data Platform team builds and operates the core data systems and pipelines that power our research, training, and production environments, unifying ingestion, processing, and orchestration across the entire data lifecycle. We are seeking a front-line technical leader to build, mentor, and grow this team, guiding its technical direction while remaining hands-on. This role is for someone who has earned deep technical credibility as an engineer and now multiplies it through a team, working closely with our research team to understand the needs of high-velocity experimentation and translate them into reliable, reproducible, scalable data infrastructure.

Decagon is seeking a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power the company's AI products. This role involves owning critical data pipelines and storage layers end-to-end, enhancing reliability and performance, and establishing streamlined processes for engineers to confidently work with data at scale. The ideal candidate will contribute to building and maintaining the foundational infrastructure for a leading conversational AI platform.

$200k - $400k

Anthropic

Anthropic is seeking a Threat Collections Engineer to join its Threat Intelligence team. This foundational engineering role involves building the infrastructure critical for threat discovery. You will integrate external data sources, develop automated detection systems for lead generation, and create internal tooling to enhance investigator impact. The position offers the opportunity to take projects from initial concept through to production, collaborating closely with investigators to understand their needs and scale the collections function.

Clay is seeking a Software Engineer to join our Data Products & Platform team. This role is crucial in building data products that customers use directly and the underlying systems that accelerate the development of new products. The core of our work involves creating and maintaining a live map of the working world, encompassing companies, people, jobs, and their connections. This data is dynamic and often conflicting, requiring sophisticated methods to transform fragmented information into reliable, actionable insights for our customers. You will be instrumental in expanding this map to capture more business types, relationships, and global coverage, turning these gaps into new data products that launch to thousands of customers weekly.

Mercor is seeking its first GTM Engineer to join their team at the intersection of engineering, growth, and marketing. This foundational role involves designing and deploying the infrastructure for Mercor's go-to-market engine from scratch. You will integrate AI agents into customer workflows, build data and tooling for marketing and sales, and transform manual processes into reliable, production-grade systems. The ideal candidate possesses strong technical depth, exceptional business instincts, and the ability to translate go-to-market operational understanding into scalable systems. You should be comfortable with SQL, Python, building AI-powered workflows, and collaborating with marketing and revenue leaders to solve high-leverage operational problems.

$175k - $250k

Cohere

Cohere is seeking a Data Scientist to join our Analytics and Data Insights team. In this role, you will tackle complex, open-ended problems that shape product and company strategy. You will design and execute experiments, build predictive models, and develop analytics that drive product decisions and demonstrate value to enterprise customers. This position offers the opportunity to own analytical work end-to-end, from framing questions to shipping actionable insights and tools that are relied upon by product leaders, sales teams, and customers.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As the Engineering Manager for Model Infrastructure, you will lead the team responsible for the platform powering every model request across Harvey, partnering closely with AI Research, Product Engineering, and Infrastructure to ensure reliability, scalability, and cost-efficiency. This is a strategic engineering organization, critical for every product capability, and will evolve to build the infrastructure for Harvey to train, evaluate, deploy, and operate its own frontier AI models.

$260k - $340k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We are building open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on building and operating the company-wide foundations platform, providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling. The team designs and implements core data systems and pipelines that power research, training, and production environments, enabling high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI model lifecycle, combining a fast LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform. This platform is designed to be highly available, global, and extremely fast, virtualizing cutting-edge ML hardware and enabling practitioners with self-serve AI cloud services. It serves both internal StaaS products and external cloud customers across numerous data centers worldwide.

$160k - $230k

Scale AI

Scale's Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

Scale AI

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

$180k - $225k

Scale AI

Scale's Robotics business unit is focused on solving the data challenges in Physical AI for Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor to building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own significant parts of our robotics platform, collaborate directly with cutting-edge robotics and AV customers, and influence the future of embodied AI systems.

Mercor is seeking its first Agentic Finance Engineer to join their team. This foundational role sits at the intersection of finance, data engineering, and applied AI, responsible for building and deploying the modern data and automation stack from the ground up. You will architect scalable financial data models, integrate AI agents into real workflows, and transform manual, spreadsheet-driven processes into reliable, production-grade systems. The ideal candidate possesses deep finance domain knowledge, understanding core financial operations, and has the technical fluency to translate this into automated systems. You should be comfortable with both SQL and communicating with executive leadership, thriving in a zero-to-one building environment.

$175k - $250k

Poolside is building a world where AI drives economically valuable work and scientific progress, aiming to accelerate software development through agentic systems and frontier models. This role is a core part of the Pretraining Data team, responsible for building and scaling the Model Factory, a system for rapid training, scaling, and experimentation with foundation models. The primary mission is to architect and maintain high-performance pipelines that transform trillions of raw tokens into high-quality dataset "fuel" for models. This involves engineering ingestion, deduplication, and streaming systems for petabyte-scale data, bridging the gap between raw web crawls and GPU clusters, and directly influencing model performance through superior data modeling and distributed pipeline optimization. Collaboration with Pretraining, Posttraining, Evals, and Product teams is key to generating high-quality datasets that address missing model capabilities and downstream use cases.

Hebbia is building an AI platform for investors and bankers to generate alpha and drive upside. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. The Document Intelligence team focuses on developing cutting-edge AI solutions for discovering and interacting with billions of documents, enabling intelligent exploration, powerful search, and deep insights extraction. We aim to empower users by transforming vast document repositories into actionable intelligence.

$160k - $350k