Technical Recruiter San Francisco, CA (San Francisco)

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, were 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 customersfoundational model builders and frontier labsScale is shaping the next generation of AI development. The

Safety, Evaluations, and Analysis Lab (SEAL)

is Scales 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 Scales highest priorities in hiring while being exposed to the latest innovations in Scales 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 :

most recently hiring Machine Learning Research Engineers

or ML / AI Engineers

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. Youll 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 :

$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. 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.