Research Engineer at Magic

San FranciscoMLFull-timePosted 34 months ago$275K–$550K per year

About the role

As published on Magic's job board.

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pretraining, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.

ABOUT THE ROLE

As a Research Engineer, you’ll work on training, evaluating, and serving large AI models and new inference-time compute techniques, build internet-scale datasets, and help prototype new research and product ideas.

WHAT YOU'LL WORK ON

- Optimize inference throughput for novel model architectures

- Contribute to frameworks used for our research and production workloads

- Train trillion-parameter models on large GPU clusters

- Curate post-training datasets to improve targeted capabilities

- Build out internet-scale data pipelines and crawlers

- Design, prototype, and optimize new model architectures

- Contribute to research across long-context, inference-time compute, RL, and more

WHAT WE’RE LOOKING FOR

- Strong general software engineering skills

- Thorough knowledge of the deep learning literature

- Experience with pre- and post-training of LLMs

- Ability to come up with and evaluate research ideas

- Experience working with large distributed systems

- Ability to handle large ETL workloads

OUR CULTURE

- Integrity. Words and actions should be aligned

- Hands-on. At Magic, everyone is building

- Teamwork. We move as one team, not N individuals

- Focus. Safely deploy AGI. Everything else is noise

- Quality. Magic should feel like magic

Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.

COMPENSATION, BENEFITS, AND PERKS (US)

- Annual salary ranges between $275K - $550K based on experience

- Equity is a significant part of total compensation, in addition to salary

- 401(k) plan with 6% salary matching

- Generous health, dental and vision insurance for you and your dependents

- Unlimited paid time off

- Visa sponsorship and relocation stipend to bring you to SF, if possible

- A small, fast-paced, highly focused team

Before you apply

  1. Scan your resume against this posting to see which of its terms you are missing.
  2. Tailor your resume so the summary and bullets use the posting's own wording where it is true for you.
  3. Read the research scientist resume guide and the interview questions for the role.
  4. Apply on Magic's site. Applications never pass through OneTwo Resume.

About Magic

AI company building frontier-scale code models as its path toward safe AGI.

All open roles at Magic · All AI research jobs at AI startups

More roles at Magic