8 months ago
Toronto, CanadaEntry Level / Mid Level
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 hardware-aware architecture.
- 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.
- Skilled at analyzing research-level model code and providing 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.
- Flexible schedule with 10–40 hour weeks.
- Competitive pay up to $80/hr based on experience.
Tech Stack
Categories
Data Science
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.