Engineering Lead/Manager

Position: Engineering Lead/Manager

Salary: $150K-$200K (dependent on work location & level of experience)

Location: San Francisco, CA or Fully Remote anywhere in the US

Ought is an applied research lab building Elicit, a GPT-3-based research assistant for questions about the future.

Today, researchers and policy analysts use Elicit to find relevant publications for a literature review, find datasets, or brainstorm research questions that are interesting to their audience. Researchers can define new tasks by showing Elicit just a few examples of the task being done. Elicit then scales those tasks to thousands of publications and datasets.

The Role and Your Impact:

• Manage the work of at least 2-3 other engineers
• Contribute directly to the Elicit codebase
• Help design the technical product and roadmap
• Make key architectural decisions, such as how to
• • Compose together multiple calls to language models to accomplish tasks that we can't accomplish with a single call, as in this paper
  • Connect Elicit with external data sources such as spreadsheets and site searches
  • Let users quickly provide feedback to the tool to create an interactive training loop
• Help build out the engineering team

What You May Bring:

• A strong software engineering background. We want to apply your experience building systems, designing architecture, and thinking about good abstractions. Most people who are a good fit for this role will have 4+ years of experience in software engineering roles.
• 2+ years of experience managing a small team, squad, or project with at least 3-5 other engineers in various roles.
• Ability to reason about and choose among different frameworks, cloud services, and libraries.
• Clear communication about engineering topics to diverse audiences.

Bonus If You Have:

• Familiarity with language models (training, fine tuning, evaluation) or natural language processing more generally
• A startup mindset. We expect to measure our impact in part by the people whose lives we improve through reasoning and models of the future.
• Experience with functional programming (e.g. SICP), programmable software (e.g., Emacs, Vim), or symbolic AI (e.g. PAIP).