Research Scientist, Adept

$175-350k

Offer competitive equity packages in the form of stock options

Junior and Mid level

San Francisco Bay Area

More information about location

5 days a week in office

Machine learning research and product lab

Job no longer available

Machine learning research and product lab

21-100 employees

B2BArtificial IntelligenceRoboticsMachine Learning

Job no longer available

$175-350k

Offer competitive equity packages in the form of stock options

Junior and Mid level

San Francisco Bay Area

More information about location

5 days a week in office

21-100 employees

B2BArtificial IntelligenceRoboticsMachine Learning

Company mission

To solve open problems in AI in order to train a neural network that knows how to use every piece of software we use in our lives.

Job

Company

Role

Who you are

The ideal candidate is someone who has produced and implemented machine learning research of substantial practical importance
Excellent quantitative intuition and problem solving skills
Experience driving long-term, ambiguous research projects to completion - ideally with significant practical impact
Excellent communication and collaboration skills, with the ability to work effectively with other researchers and the infrastructure and product teams

What the job involves

In this role, you’ll work directly on our fundamental research challenges, advancing the state of the art in model and agent capabilities
This job involves designing and running large-scale experiments on complicated infrastructure, so strong experimental intuition and programming skills are also necessary
Work in a team setting to understand the behavior and limitations of our current models
Develop, implement, and test ideas for significantly improving those models
Drive the downstream implementation of these improvements all the way to deployment, with an eye toward user-perceptible performance improvements

Our take

Adept is developing AI models that don't just respond to text commands - like a chatbot - but actually turn those commands into actions. The company's generative AI has the potential to help users carry out tasks on their computers, from browsing the internet to navigating enterprise software tools.

The company's model, ACT-1 is designed and trained to take action on users' computers in response to their natural language commands. While such technology is still in early development, with the speed of innovation in the AI space, CEO David Luan believes the Adept advanced AI capabilities are only a couple of years away, not decades.

Fairly new to a fiercely competitive industry, Adept was only founded in 2022 but that hasn't stopped it from gaining the support of some of the largest companies in technology, including Nvidia, Microsoft, Workday, and Atlassian. With several rounds of funding under its belt, Adept is equipped to accelerate the training of its AI models and reach its goal of creating the next-generation generative AI model.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Mar 2023

$350m

SERIES B

Apr 2022

$65m

SERIES A

Total funding: $415m

Company benefits

Comprehensive health insurance coverage - 100% for employees
Dental and vision insurance
Unlimited vacation time for exempt employees
4 remote weeks per year - work from anywhere
Stock options
Daily meals for those in our comfortable SF office
Commuter benefits

Company HQ

SoMa, San Francisco, CA

Leadership

David Luan

(CEO & Co-Founder)

Previously worked as the Director of AI at Axon, the Director of Engineering at OpenAI, and as a Director at Google Research.

Fred Bertsch

(Co-Founder)

Experienced Software Engineer having previously worked at Google.

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