Head of AI
Posted on 7/19/2023
INACTIVE
Sourcegraph

51-200 employees

Universal code search software
Company Overview
Sourcegraph's mission is to make it so everyone, in every community, in every country, and in every industry can create products using the best technology. Sourcegraph is developing the world's most advanced code search navigation platform with brilliant dreamers around the globe.
B2B

Company Stage

Series D

Total Funding

$232.1M

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-12%

2 year growth

-35%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Requirements
  • You've worked on AI systems and have built ML at large tech companies
  • You have a deep ML background and have demonstrated an ability to be customer and company focused
  • You are hands-on and can build machine learning
  • You are a Prompt Engineer and can take models and figure out how to speak to it in a way that yields different results
  • You are an entrepreneurial engineer who can hack together prototypes quickly, get things out the door, and iterate
  • You are an LLM hacker or a thought leader in the LLM space and can craft a roadmap that takes advantage of the space, especially with code intelligence
  • You've worked in NLP or language models at a top-tier research lab
  • [60m] Resume Deep Dive with Grace Bohl
  • [45m] Technical Deep Dive with Dominic Cooney and Julie Tibshirani
  • [60m] Peer Interview with Erika Rice Scherpelz
  • [Async] Pairing Exercise with Beyang Liu
Responsibilities
  • Help make the Beta launch as solid as possible
  • Finish hiring your world-class team
  • Be up to speed and driving Sourcegraph's AI strategy
  • Have delivered a world-class coding assistant to a dozen big-name companies
  • Meet regularly with customers and prospects, representing the company
  • Have established a longer-term roadmap that keeps us aligned with expected advances in LLMs