Foundation Models Lead

Scale AI is the leading provider of expert data and human feedback to power RLHF for most of the Large Language Models available today. Scale also partners with many companies to help evaluate the LLMs and, in turn, drives model improvement by providing data to improve them - forming a virtuous cycle. This forms the foundation of an AI ecosystem and sets the bar for the data-centric AI movement. We are looking for the key Foundation Model Lead to seed and grow our team. Your core focus will be on advancement of LLMs - you will lead our efforts to partner with the largest companies building LLMs and help drive their improvement. If you are excited about shaping the future of the AI movement in a data-centric way, we would love to hear from you! 

• Apply state of the art models developed internally and from the community, use them in production to solve problems for our customers and data labelers. 
• Work with product and research teams with the largest LLM providers to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at language and multi-modal inputs.

• 5+ years of model training, deployment and maintenance in a production environment.
• Strong skills in computer vision, NLP, or deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Strong programming skills in Python, experience in Tensorflow or PyTorch.
• Strong written and verbal communication skills. 
• Rapidly prototype and test cutting edge techniques like prompt engineering, instruction tuning, chaining, DSP, RLHF and more.
• Architect, train and deploy LLMs
• Obsessed with foundation models

• Experience with deep learning with large scale video processing. 
• Published research in areas of machine learning at major conferences and/or journals. 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience working on recommendation engines 

The salary range for our Tier 1 locations of San Francisco & New York is ~$240,000.00 - $300,000.00. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Scale employees are also granted Stock Options that are awarded upon board of director approval. 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.