Engineering Lead/Manager - Ought - San Francisco or Fully Remote
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).