Technical Recruiter, Machine Learning Recruiting San Francisco, CA

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles.

With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI). As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs). The Safety, Evaluations, and Analysis Lab (SEAL) is Scale’s new frontier research effort, dedicated to building robust evaluation products and addressing the most challenging research problems in evaluation and red teaming. About the Team The Machine Learning recruiting team is responsible for hiring Machine Learning Research Engineers across various levels. The team works closely with hiring managers to drive Scale’s highest priorities in hiring.

You will: Drive and lead recruiting strategy for hiring ML researchers and Applied ML Engineers Work closely with hiring teams across machine learning defining job descriptions, requirements, and interview processes. Work closely with recruiters, hiring managers, and leadership to understand hiring needs, role requirements, and company culture to target the right talent.

Stay informed on industry trends, salary benchmarks, and competitive intelligence. Leverage your recruiting metrics to inform your activity needs, which you'll interpret and present to hiring managers Collaborate with recruiting coordinators, recruiters, and hiring partners to build a transparent interview experience. Foster trust-based relationships with candidates, gaining a close understanding of their requirements and concerns.

Help ensure we build inclusive and diverse teams as we grow. Influence and educate hiring teams on interviewing best practices. Take full ownership of sourcing passive leads for your pipelines as needed.

Work from the San Francisco office 3x per week You have: 5 years of Technical Recruiting experience, most recently hiring Machine Learning Research Engineers or ML/AI Engineers You have an eye for detail, and care equally about the qualitative and quantitative output of your work. You build strong relationships; your candidates, clients, and peers trust you. Regularly keep up with AI industry trends and state-of-the-art progress.

You have attended or participated in recruiting strategy for top ML conferences such as NeurIPS, ICML, and ICLR. You’re careful to avoid being transactional, and focus intently on building genuine connections. Excellent verbal and written communication skills Excellent market knowledge within AI and Machine Learning Experience managing complex technical roles.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Please reference the job posting's subtitle for where this position will be located.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000 — $203,000 USD. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time.

Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. J-18808-Ljbffr