# Research Engineer at Magic Dev

> Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Amagic.dev%3Abcc8d988-47ea-4089-9619-80260abb71b5 (read 2026-11-10).

## Facts (observed)

- Company: [Magic Dev](https://alderhq.app/companies/magic-dev)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2024-01-24 (1021 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/magic.dev/bcc8d988-47ea-4089-9619-80260abb71b5
- Skills listed (inferred): LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: $275k–$550k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 544): p25 $200k, median $249k, p75 $300k

## Description (the employer's text)

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

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Amagic.dev%3Abcc8d988-47ea-4089-9619-80260abb71b5 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.