AI Strategy Consultant, Frontier Tech
Scale AI · San Francisco, CA · Growth
About this role
Scale AI is hiring a mid-level AI Engineer in the machine learning function based in San Francisco, CA. The posting calls out experience with Python, SQL, AWS, LLMs. Compensation is listed at $124,800–$166,400 per year.
- Role
- AI Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Growth
More roles at Scale AI
Job description
from Scale AI careersAs a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence.
In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.
The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.
You will be responsible for:
- Design and execute research experiments
- Build and evaluate frontier LLM datasets
- Develop training and testing material for frontier pipelines
- Improve quality of existing and new products
Ideally you’d have:
- Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated