Software Engineer, Magic

Post-Training Data

$100-550k

+ Equity

Junior, Mid and Senior level

San Francisco Bay Area

More information about location

Advanced code models for virtual coworkers

Be an early applicant

Advanced code models for virtual coworkers

21-100 employees

B2BArtificial IntelligenceDeep TechSaaS

Be an early applicant

$100-550k

+ Equity

Junior, Mid and Senior level

San Francisco Bay Area

More information about location

21-100 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To automate AI research and code generation to improve models and solve alignment more reliably than humans can alone.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

Magic is a startup that uses AI to help with coding. It supplies a set of tools that can write and manage code for software projects, almost like having a smart assistant that understands programming. Interestingly, its technology can handle large amounts of code and remember details over long stretches of work.

The aim is to make things easier by automatically performing tasks such as writing new code, fixing issues and planning changes. This means developers can get help with their coding work without having to do everything manually.

The company has raised good funding from several high-profile investors. And it's also teamed up with Google Cloud to build powerful computer systems to support its AI tools. With this funding and partnership, Magic will advance its technology and work towards creating even more advanced AI in the future.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

Company

Funding (last 2 of 4 rounds)

Aug 2024

$320m

LATE VC

Feb 2024

$117m

SERIES B

Total funding: $465m

Company benefits

Equity: Significant equity compensation
Retirement savings: 401K with 6% salary matching
Healthcare: Health, dental and vision insurance for you and your dependents
Time off: Unlimited paid time off to support balance in your work and life
Office catering: Chef-prepared lunch and dinner
Wellbeing: Access to mental health, financial wellbeing, and telehealth programs

Company values

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

Company HQ

SoMa, San Francisco, CA

Articles

Magic announced a new funding round and a strategic partnership with Google

Generative AI coding startup Magic lands $320M investment

Leadership

Eric Steinberger

(Co-Founder & CEO)

Also Founder and Chair of the Board at ClimateScience. Previously a Researcher of Deep Reinforcement Learning at Facebook AI.

Sebastian De Ro

(Co-Founder)

Previously worked at FireStart for over 3 years, beginning as a Development Lead and ultimately becoming CTO. Prior to that, they were a Senior Software Engineer at ÖBB and a Lead Developer at twinformatics.

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