About Ought

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.
Watch Elicit in action below. Right now Elicit is in private beta as we build it in close collaboration with our users.

About the role

As ML research engineer at Ought, you will

  • Compose together multiple calls to language models to accomplish tasks that we can't accomplish with a single call, as in this paper
  • Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papers
  • Set up evaluation metrics that tell us what changes to our models or training setup are improvements
  • Scale up semantic search from a few thousand documents to 100k+ documents

A longer list of ML-related projects we're working on soon:

About you 

Reasoning about the future will be much better with better infrastructure. To help us get there, you'll need:

  • A strong software engineering background. We want to apply your experience building systems, designing architecture, and thinking about good abstractions. Ought will need you to do much more than write scripts.
  • Familiarity with language models (training, finetuning, evaluation), or comparable machine learning or natural language processing background (e.g. experience with information extraction, semantic search)
  • 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. We know you care about that too. You’ll want to test lots of ideas, get feedback, and watch yourself learning and growing every day.

EEO & Employment Eligibility

Ought is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other status protected by federal, state, or local laws.

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