Technical Recruiter, Machine Learning

3 Days ago • 5 Years +
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About the job

SummaryBy Outscal

Scale AI is seeking a Technical Recruiter with 5+ years of experience hiring Machine Learning Research Engineers. You'll drive recruiting strategy, work closely with hiring teams, and stay informed on industry trends. Ideal candidate has experience managing complex technical roles, attending top ML conferences, and building genuine connections.

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), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

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). At the forefront of defining post-training data strategies for our customers—foundational model builders and frontier labs—Scale is shaping the next generation of AI development. 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 while being exposed to the latest innovations in Scale’s new frontier research efforts. 

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.
 

About The Company

California, United States (Hybrid)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (Remote)

District Of Columbia, United States (On-Site)

District Of Columbia, United States (On-Site)

District Of Columbia, United States (On-Site)

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