Software Engineer - Post-training Data

Reposted 22 Days Ago
3 Locations
In-Office
225K-550K Annually
Mid level
Artificial Intelligence • Software
The Role
Develop and maintain data pipelines for gathering post-training datasets, ensuring data quality and efficiency in processing and generation.
Summary Generated by Built In

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 pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.

About the role: 

As a Software Engineer working on our post-training data infrastructure, you write efficient and robust data pipelines and work with the research and Applied teams to devise strategies for gathering and maintaining specific, diverse datasets at scale.

What you might work on:
  • Develop creative ways to obtain post-training datasets teaching the model targeted capabilities.

  • Develop creative ways to reliably generate synthetic datasets

  • Iterate on filtering and scoring heuristics for a post-training dataset

  • Contribute to our data infrastructure by implementing, maintaining and testing data pipelines serving workloads across scales from gigabytes to 100s of petabytes

What we’re looking for:
  • Extreme attention to detail and commitment to data quality.

  • Ability to write reliable, well-tested code and quickly learn new tools, programming languages or frameworks needed for a given job.

  • Versatility in end-to-end data pipelines, from scraping to processing.

  • High intellectual agility and grit to tackle tough challenges.

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.

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

Compensation, benefits and perks (US):
  • Annual salary range: $225K - $550K

  • 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

Top Skills

Data Pipelines
Programming Languages
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
47 Employees
Year Founded: 2022

What We Do

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev

Similar Jobs

Capital One Logo Capital One

Sales Manager

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
Tacoma, WA, USA
55000 Employees
108K-144K Annually

Whatnot Logo Whatnot

Software Engineer

eCommerce • Mobile
In-Office
4 Locations
750 Employees
140K-150K Annually

Block Logo Block

Staff Software Engineer

Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
In-Office
Seattle, WA, USA
12000 Employees
264K-395K Annually

PwC Logo PwC

Software Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
67 Locations
370000 Employees
77K-202K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account