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Mana
Mana
Machine Learning Engineer
Full-time
Hybrid (Remote, San Francisco)
$150k - $250k
About this role

You will build the machine learning systems that power our general artificial intelligence for capital allocation.

We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

3+ years of experience
as a software engineer or machine learning researcher
Salary
$150k - $250k
Equity
Competitive Equity
Visa sponsorship available (limited to exceptional candidates)
Visa sponsorship available to exceptional candidates that don't have work rights in the US
Hybrid work policy
(Remote, San Francisco)
Full-time position
About Mana

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.


As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Team size

18 people

Founded

2022

Website

twitter.com/mnovendstern

LinkedIn

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Press

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Company locations

San Francisco, CA
Mana company image - 1
The team
About the team

We will build a team at the intersection of elite quantitative finance and artificial intelligence research


Research lab brings quant finance and deep learning together:

  • Max Novendstern, Founder & CEO: Previously was the founder and CEO of Worldcoin, a biometric hardware and cryptocurrency company (>$10B valuation). He was a first ten employee at Wave, one of the fastest-growing mobile money and remittance apps in history (>$1B valuation). Before that he was Investment Associate at Bridgewater Associates and studied philosophy at Harvard.

  • David Kaufman, Founder & CIO: Previously ran the artificial intelligence lab at Bridgewater Associates, the world’s largest hedge fund. David studied physics and computer science at Harvard.

  • Vasily Artyukhov, Finance Lead: Previously was a senior researcher at Quantlab, a leading high frequency trading firm. He has a PhD in chemistry, was a top forecaster at the Good Judgment Project, and has more than thirty peer-reviewed papers in top journals.

  • Max Sieb, AI Lead: Previously was a researcher at Covariant, a leading robotics firm. He has multiple published machine learning results and patents, and has a computer science degree from Carnegie Mellon.

  • Keenahn Jung, Product Lead: Previously was the founder and CTO of Invisible, a workflow automation company that scaled to eight figures of revenue. They have a computer science degree from Berkeley.

  • Bradly Stadie, Adviser: He is a machine learning professor at Northwestern, and previously was an early researcher at OpenAI under Ilya Sutskever.

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