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Technical Sourcer, Machine Learning Research

at Scale
Compensation
$125k - $150k per year
Type
Full Time
Experience
Intermediate
Benefits
  • 401k
  • Commuter Benefits
  • Equity
  • Dental
  • Medical
  • Vision

About Scale

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.

About Gen AI ML Team 

Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s Generative AI product team focused on accelerating AI adoption for some of the largest companies in the world. 

About the Team

The Machine Learning technical 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 Gen AI ML teams. 

You will:

  • Drive and lead the top-of-funnel recruiting strategy and research for hiring ML researchers
  • Develop relationships with your key stakeholders to ensure success in your role; including cross-functional partners
  • Leverage your recruiting metrics to inform your activity needs, which you'll interpret and present to hiring managers
  • Work closely with hiring teams across business and tech defining job descriptions, requirements, and interview processes.
  • 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:

  • 4+ years of technical sourcing ideally sourcing Machine Learning Research Engineers or machine learning recruiting experience across a range of technical specializations at high growth tech companies.
  • 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 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.
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