Responsibilities
- Engage in high-impact projects with partnered AI labs.
- Design and review advanced deep learning problems.
- Analyze and critique complex ML code and AI-generated PyTorch implementations.
- Apply expert judgment on GPU performance and architecture trade-offs.
- Collaborate with the research team to co-author technical reports and research papers.
Requirements
- Advanced degree (PhD or higher) in Computer Science, Electrical/Computer Engineering, Applied Math, AI/ML, or a related field.
- Hands-on experience building and fine-tuning deep learning models in PyTorch.
- Familiarity with GPU performance and optimization techniques.
- Skilled at analyzing research-level model code and providing actionable feedback.
- Ability to explain complex ML behaviors and trade-offs clearly.
Benefits
- Professional development opportunities through review projects and advisory roles.
- Access to a global network of engineers and experts in AI.
- Flexible schedule with 10–40 hour work weeks.
- Competitive pay up to $80/hr based on experience and skills.
Tech Stack
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.