Research Engineer
Company websitemagic.dev (Magic, opens in new tab)
Base salary $275K to $550K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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
Source: Magic on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($275,000) is above 88% of the 1,503 Data & ML roles in California listed on this site; 1 other lists the same floor. Their median floor is $187,000; the middle half runs from $158,941 to $229,900.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingResearch Engineer$275K to $550K
Member of Technical Staff, RL Research & Environments$275K to $550K
Member of Technical Staff, Inference & RL Systems$275K to $550K
Member of Technical Staff, Kernels$275K to $550K
Member of Technical Staff, Pretraining Systems$275K to $550K
Member of Technical Staff, Security Engineer$225K to $550K
<insert-job-you-excel-at/>$100K to $550K
Chart as a table
| Role | Published base |
|---|---|
| Research Engineer (this listing) | $275K - $550K |
| Member of Technical Staff, RL Research & Environments | $275K - $550K |
| Member of Technical Staff, Inference & RL Systems | $275K - $550K |
| Member of Technical Staff, Kernels | $275K - $550K |
| Member of Technical Staff, Pretraining Systems | $275K - $550K |
| Member of Technical Staff, Security Engineer | $225K - $550K |
| <insert-job-you-excel-at/> | $100K - $550K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2024-01-24
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 275,000 – 550,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
