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Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is building AI for science. We scaled to >$7MM annual revenue and 450k MAU fast. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was an applied research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• ML engineer: https://elicit.com/careers/913a03d5-bd26-4c64-8346-21a029f34...

• Founding data engineer: https://elicit.com/careers/8cc10be7-30ca-469a-a567-dfcdb271f...

• Senior software engineer: https://elicit.com/careers/aa99e2e9-5b15-4cd3-ac9d-9c9177ff6...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We scaled to >$6MM annual revenue and 450k MAU fast. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was an applied research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Our first data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We scaled to >$6MM annual revenue and 450k MAU fast. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was an applied research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Our first data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We scaled to >$5MM annual revenue and 450k MAU fast. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was an applied research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We've scaled to >$3MM annual revenue and 400k MAU with our small team. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was more of a research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

3. We just raised a Series A, so if you want existential dread (and concomitant founding-team-upside), Elicit is not for you.

A selection of open roles—more on the site:

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We've scaled to >$3MM annual revenue and 400k MAU with our small team. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was more of a research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We've scaled to >$3MM annual revenue and 400k MAU with our small team. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Reasons you might want to join Elicit:

1. We have been thinking about how to apply AI for high-stakes knowledge work since even before GPT-1. Elicit was spun-out from Ought (https://ought.org/) which was more of a research lab.

2. If you're concerned about the potential downsides and risks of super-powerful AI: so are we! Happy to explain more of this story on a call, or you can also check e.g. https://ought.org/updates/2022-04-06-process for a primer.

3. We like spending time with each other, and have get-togethers every 6 weeks, but we're flexible on location.

Reasons you might not want to join Elicit:

1. We've found a level of product market fit (as evidenced by metrics) but we've not proven everything out yet. If you want predictability, Elicit is not for you.

2. We aim to hire people who thrive in low-bureaucracy environments, and let them loose. If you need structure, lots of support, close mentorship, or tightly-defined work assignments, Elicit is not for you.

A selection of open roles—more on the site:

• Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...

• Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

• Data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...


Elicit | San Francisco + remote (US timezones) | https://elicit.com/careers

Elicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions. We've scaled to >$2MM annual revenue and 400k MAU with our small team. We're hiring for multiple roles and are primarily interested in people with early-stage company experience, who are comfortable in high-agency, fast-paced teams.

Front-end engineer: https://elicit.com/careers?ashby_jid=b5e218b8-8730-4254-b026...

Machine learning engineer: https://elicit.com/careers?ashby_jid=913a03d5-bd26-4c64-8346...

Data engineer: https://elicit.com/careers?ashby_jid=4617f630-f971-4716-b753...


Elicit (https://elicit.com/careers) | Oakland, CA and Hybrid | Frontend, AI, and Full-stack software engineering roles.

Elicit is automating high-quality reasoning so that we can help the world make more breakthroughs in every domain: from climate change to the gut microbiome to longevity and economic policy.

We’ve scaled to over 200,000 monthly users purely by word of mouth and recently crossed $1.5MM in annual revenue, 7 months after launching subscriptions.

We’re now building out our software engineering team, and hiring across several technical roles.

If you'd like to know more about some of the work we're doing you could check: - A recent blog post current UX work: https://blog.elicit.com/living-documents-ai-ux/ - Me talking about our "AI engineer" role on a podcast a couple of weeks ago: https://www.latent.space/p/hiring

Check out the careers page linked above, or email me at james@elicit.com


Elician here!

Our main focus is a little different to SciSummary actually. We're focussed on understanding researchers broader workflows, and providing a research assistant (i.e. rather than a particular narrow tool for summarisation or search).

The workflows we're most excited about at the moment are literature and systematic reviews: we think we can make these orders of magnitude faster and higher quality.


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