Research Engineer
$275k - $550k • San Francisco • FullTime
Posted 2y ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
As a Research Engineer at Magic, you will be instrumental in training, evaluating, and serving large AI models, including exploring new inference-time compute techniques. You will also be responsible for building internet-scale datasets and prototyping innovative research and product concepts. This role offers the opportunity to contribute to cutting-edge AI research and development in a fast-paced, highly focused team environment.
Responsibilities
- Optimize inference throughput for novel model architectures
- Contribute to frameworks for research and production workloads
- Train trillion-parameter models on large GPU clusters
- Curate post-training datasets to improve targeted capabilities
- Build internet-scale data pipelines and crawlers
- Design, prototype, and optimize new model architectures
- Contribute to research in areas like long-context, inference-time compute, and RL
Requirements
- Strong general software engineering skills
- Thorough knowledge of deep learning literature
- Experience with pre- and post-training of LLMs
- Ability to conceive and evaluate research ideas
- Experience working with large distributed systems
- Ability to handle large ETL workloads
Benefits
- Equity as a significant part of total compensation
- 401(k) plan with 6% salary matching
- Generous health, dental and vision insurance for you and your dependents
- Unlimited paid time off
- Visa sponsorship
- Relocation stipend