ZA
Founding ML/RL Researcher
Accepting applicationsZealous Agency · San Francisco Bay Area
Full-Time Mid_senior AIPythonai
Posted
15 May
Category
Manufacturing
Experience
Mid_senior
Country
United States
Founding ML/ RL Researcher/ Engineer
Remote (US, San Francisco preferred)
$300,000 base + equity
This is one of those founding-team opportunities that you can’t afford to miss. It’s at a well-funded AI research lab about to blast out of stealth mode and doing some novel work at the edge of reinforcement learning.
They’re moving into their next phase of growth after closing funding and signing contracts with major frontier AI labs.
As a Founding RL Researcher, you will lead efforts to build novel algorithms and environments for training autonomous agents. You will have real influence over technical direction from day one and work directly with experienced second-time founders.
Core skills and experience required
Strong background in reinforcement learning
Hands-on post-training experience: RLHF etc
Experience designing or building RL environments grounded in real-world workflows
Distributed training at scale
Python and PyTorch
Experience at a top-tier AI lab or company
A blend of theoretical depth mixed with the ability to ship production systems
Publications at top ML conferences, nice to have
If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms into real-world, long-horizon intelligence, this is worth a conversation.
Apply with your CV or reach out to Ben Greensmith for more details.
Show more Show less
Remote (US, San Francisco preferred)
$300,000 base + equity
This is one of those founding-team opportunities that you can’t afford to miss. It’s at a well-funded AI research lab about to blast out of stealth mode and doing some novel work at the edge of reinforcement learning.
They’re moving into their next phase of growth after closing funding and signing contracts with major frontier AI labs.
As a Founding RL Researcher, you will lead efforts to build novel algorithms and environments for training autonomous agents. You will have real influence over technical direction from day one and work directly with experienced second-time founders.
Core skills and experience required
Strong background in reinforcement learning
Hands-on post-training experience: RLHF etc
Experience designing or building RL environments grounded in real-world workflows
Distributed training at scale
Python and PyTorch
Experience at a top-tier AI lab or company
A blend of theoretical depth mixed with the ability to ship production systems
Publications at top ML conferences, nice to have
If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms into real-world, long-horizon intelligence, this is worth a conversation.
Apply with your CV or reach out to Ben Greensmith for more details.
Show more Show less
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