Research Engineer, Magic

$100-550k

+ Equity

Junior, Mid and Senior level

Remote in US

San Francisco Bay Area

More information about location

Advanced code models for virtual coworkers

Open for applications

Advanced code models for virtual coworkers

21-100 employees

B2BArtificial IntelligenceDeep TechSaaS

Open for applications

$100-550k

+ Equity

Junior, Mid and Senior level

Remote in US

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

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

What the job involves

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
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

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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