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.
