Technical Sourcer, Machine Learning Research Full-time

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.

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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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:

$125,000-$150,000 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. Our products power the world’s most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

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. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor’s Know Your Rights poster for additional information.

We comply with the United States Department of Labor’s Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.