Tech Lead Manager- MLRE, ML Systems
About this role
Scale AI is hiring a Tech Lead Manager for MLRE, ML Systems in San Francisco, CA or New York, NY to lead the development of internal distributed frameworks for large language model training. This opportunity suits an experienced engineering leader passionate about system optimization, distributed machine learning, and shaping the future of artificial intelligence.
Role Overview
The Tech Lead Manager position focuses on building, profiling, and optimizing training and inference frameworks to power researchers, machine learning engineers, and data scientists. The person in this role will work closely with machine learning teams to accelerate development and enable the creation of next-generation models and data curation techniques.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Scale AI has a mission to develop reliable artificial intelligence systems for the world's most important decisions. The company provides high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee impactful AI applications. Scale AI partners with industry leaders and government agencies, maintaining a commitment to being an inclusive and equal opportunity workplace.
How to Apply
Interested candidates should apply directly on the official Scale AI careers page.
Skills and tech stack
Questions candidates ask
What locations are eligible for this role?
This position is located in San Francisco, CA and New York, NY.
What is the salary range for this position?
The base salary range for this full-time position in San Francisco and New York is $290,400 to $363,000 USD.
What benefits are included with the role?
Eligible roles receive comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, equity-based compensation, and potentially a commuter stipend.
What technical skills are required?
Candidates need strong software engineering skills, proficiency in tools like CUDA, PyTorch, transformers, and flash attention, along with experience in large-scale distributed ML systems and multi-node LLM training.
Is there a waiting period to reapply if previously rejected?
Yes, Scale AI has a policy requiring a 90-day waiting period before reconsidering candidates for the same role.