Software Engineer, Magic

Product

$225-550k

Offers equity

Senior and Expert level

New York

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

$225-550k

Offers equity

Senior and Expert level

New York

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

5+ years of deep product engineering experience. This is a newer team and we’re looking for people to help us navigate the unknown
Experience or interest with AI-first products and applications
Deep design sensibility and past experience collaborating with design groups
An ability to turn highly technical engineering and research into a seamless and usable product

What the job involves

As a Software Engineer on the product team, you’ll be responsible for building and maintaining our product surfaces, which are vertically integrated into our model (LTM) and infrastructure
These surfaces are used both by our end-users (customers) and our technical staff internally
Engineers on the product team are comfortable working across the technical stack, from building user interfaces to working on backend API services, and everything in between
Product engineers collaborate directly with our design team, as well as product leadership, and our machine learning engineering teams
A command line tool which allows users to pair with LTM to write code, execute commands, and answer questions about a local codebase
A web based application which allows users to use LTM in a cloud-based development environment and manage Magic account settings
Partnering with research teams closely to turn their work into applications and public-facing offerings
Iterating and scaling our product offerings globally

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

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 HQ

SoMa, San Francisco, CA

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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