Six Figure Work

Research Engineer

Magic

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

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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 range next to 6 other live Magic roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Magic roles with the nearest advertised base floor
RolePublished 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

Same $100K to $400K scale as every card. All Magic roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. 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.