Technical Recruiter - AI/ML

Atoms•San Francisco, CA

16h•$120,000 - $170,000•Onsite

About The Position

Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us.

Requirements

Experience recruiting AI/ML, software engineering, robotics, autonomy, or similarly specialized technical talent.
Demonstrated success finding and engaging passive candidates in highly competitive talent markets.
Strong sourcing fundamentals and the ability to build a search rather than depend primarily on inbound applicants.
Ability to learn unfamiliar technical domains quickly and translate technical requirements into effective sourcing strategies.
Ability to understand what candidates actually built, owned, and contributed to within complex technical organizations.
Experience partnering directly with engineering leaders and senior hiring managers.
Strong judgment and willingness to challenge a search strategy when candidate or market evidence doesn't support it.
Ability to manage multiple complex searches without sacrificing quality or candidate experience.
Strong written and verbal communication skills.
High ownership and comfort operating in a fast-moving environment with evolving priorities.

Nice To Haves

Recruited in areas such as foundation models, computer vision, perception, autonomous vehicles, robotics, multimodal AI, world models, reinforcement learning, ML systems, or ML infrastructure.
Curiosity about technology to learn the difference between someone who used a model, trained a model, built the systems around a model, and actually developed the model architecture.

Responsibilities

Own full-cycle recruiting for AI/ML and related technical roles from intake through offer and close.
Partner directly with technical leaders to understand their teams, technology, hiring needs, and the specific talent profiles required.
Develop a working understanding of the domains you recruit for—not simply the keywords associated with them.
Build and execute sourcing strategies for highly specialized and difficult-to-find technical talent.
Identify and engage passive candidates through thoughtful, targeted outreach.
Evaluate technical backgrounds and distinguish between adjacent areas such as ML engineering, AI research, perception, robotics, and ML infrastructure.
Understand a candidate's actual technical contributions, rather than relying solely on titles or company pedigree.
Manage candidates throughout the recruiting process while providing direct, transparent communication and a high-quality candidate experience.
Use recruiting data and market evidence to evaluate pipeline health, identify problems, and adjust search strategy.
Partner with hiring managers to maintain clear expectations, drive timely decisions, and challenge assumptions when the market evidence calls for it.
Help continuously improve our recruiting systems, interview processes, and technical hiring practices as Atoms scales.