ML Research Operations Lead

At Scale AI, our mission is to strengthen human sovereignty. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, computer vision, 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.

 

Scale AI is looking for a driven and highly capable ML Research Operations Lead to serve as the connective tissue between our research scientists, engineering and operations teams. In this individual contributor role, you’ll take the lead in streamlining machine learning workflows, managing data production pipelines, and ensuring efficient handoffs between ops, engineering and research. Beyond facilitating process excellence, you’ll have the opportunity to co-author research papers and directly contribute to groundbreaking advancements in AI. If you’re eager to shape the future of machine learning research and help transform innovative ideas into impactful results, we’d love to have you on board.

 

You will:

• Drive the planning, execution, and successful completion of machine learning ops research projects, experiments and hybrid data pipelines with members of the Scale research team and external research labs.
• Identify bottlenecks and implement solutions to streamline operations and accelerate research timelines.
• Facilitate effective communication and collaboration between research scientists, engineers, and other stakeholders.
• Act as a liaison to ensure alignment of research objectives with organizational goals.
• Prepare and deliver comprehensive reports, presentations, and updates to executive leadership and key stakeholders.
• Collaborate with EPD teams to develop custom solutions tailored to the ML projects needs.

Ideally, you’d have:

• 3-5 years of experience in machine learning project management or research operations roles.
• Proven track record of successfully leading and managing ML research projects from inception to completion.
• Experience working within multidisciplinary research teams.
• Strong understanding of machine learning algorithms, data processing, and AI model development.
• Proficiency in programming languages such as Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.

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:$140,000—$210,000 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 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. 

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