ML Research Operations Lead
| Company | Scale AI |
|---|---|
| Location | San Francisco, CA, USA, New York, NY, USA |
| Salary | $140000 – $210000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Junior, Mid Level, Senior |
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.
- 1-5 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).
Responsibilities
- 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.
Preferred Qualifications
- Experience working within multidisciplinary research teams.