As researcher at Ought, you invent and test new schemes for distributed and automated deliberation, building on the state of the art in machine learning.
Your primary focus is on conceptual work: you synthesize the current state of the field and come up with new systems that might plausibly help support people's thinking, and with hypotheses worth testing.
You work closely with our engineers to guide the implementation of your ideas.
- Excellent computer science knowledge
- Advanced knowledge of AI and machine learning
- Strong evidence of ability to do innovative research
- Clear, well-reasoned, and engaging writing
- Fluent written and spoken English
Good to have:
- Publications in machine learning, crowdsourcing, or HCI
- Experience with probabilistic generative models
- Strong mathematical background
- Strong applied programming skills
- Experience using Git, pull requests, and code reviews
- Health, dental, and vision insurance
- 20 days of paid vacation per year (in addition to national holidays)
- Modern workspaces, with funds available for equipment of your choice
- Relocation assistance
- Flexible hours
- Paid travel to conferences
- Take into account that we're a new organization. You will have unusually large leverage and room for growth, including the potential to manage other employees and contractors in the future, but you'll also need more initiative than at an established company and you'll wear many hats.
- We strongly prefer applicants who can work on site, but will consider remote work for exceptional candidates, including internationally.
- We're a mission-driven non-profit. The position is best suited for someone who deeply cares about our mission.
- Salaries are competitive. We generally pay Bay Area market rate based on comparable positions at other organizations, including for-profit companies.
- Not sure which position to apply for? Just pick one for now, add a note on alternatives you're considering, and we'll discuss.
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.