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Salary: USD 120,000 - 170,000 / annual
Atoms is building Physical AI—real-world robots for industries including food, mining, and transport. The company integrates hardware, software, AI, operations, manufacturing, and real estate to deploy and scale autonomous systems in real-world environments.
You will own full-cycle recruiting for highly specialized technical roles across machine learning, AI research, perception, robotics, autonomy, and ML infrastructure. This role requires understanding the technical talent landscape, building sourcing strategies from the ground up, and partnering closely with engineering leaders to define what great looks like.
Key responsibilities:
- Own full-cycle recruiting (intake through offer and close) for AI/ML and related technical roles
- Partner directly with technical leaders to understand team needs, technology, and required talent profiles
- Develop working knowledge of the domains you recruit for—not just keywords
- Build and execute sourcing strategies for highly specialized, difficult-to-find technical talent
- Identify and engage passive candidates through targeted outreach
- Evaluate technical backgrounds and distinguish between adjacent areas (ML engineering, AI research, perception, robotics, ML infrastructure)
- Assess candidates' actual technical contributions rather than relying solely on titles or company pedigree
- Manage candidates throughout the recruiting process with transparent communication and high-quality experience
- Use recruiting data and market evidence to evaluate pipeline health and adjust strategy
- Partner with hiring managers to maintain clear expectations, drive timely decisions, and challenge assumptions
- Help improve recruiting systems, interview processes, and technical hiring practices as the company scales
The role is based in San Francisco with five-day-per-week onsite work.
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; ability to build searches 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 search strategy when 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
Preferred:
- Experience recruiting in foundation models, computer vision, perception, autonomous vehicles, robotics, multimodal AI, world models, reinforcement learning, ML systems, or ML infrastructure
- Curiosity about technology and ability to distinguish between users of models, model trainers, systems builders, and model architects
