Atman Labs, London
About Atman Labs
At Atman Labs we are building software to emulate human expertise. Emulating true human intelligence and interaction with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. Our research allows us to build the underlying mechanisms for systems to plan, create knowledge, and interact with the world like a human to perform complex tasks.
The Moksha Lab: The Conscious Powers of an Intelligent System
Our mission in the Moksha Lab is to emulate the conscious properties of human decision within machines, breaking new ground by building systems that can form and evaluate deep strategies, dynamically adapt to unpredictable environments, and reason about knowledge to perform tasks like an expert, either serving humans individually or discovering new knowledge.
Research Areas
Modeling Human Interaction with Reinforcement Learning
Our research is responsible for advancing the state of the art in reinforcement-learning as it relates to building proactive agent interactions with humans that mimic the intelligence and dynamism of human experts. Deeply inspired by the works of pioneers in the field like DeepMind (AlphaGo), we have long held the ambition that reinforcement learning is the key to building more human-like intelligent systems that can solve complex tasks, and are passionate about the unique opportunity to build commercially-viable products with RL.
If you are a specialist in reinforcement learning, rooted in first-principled, biological thinking, and are able to discern that biological systems have infinite sequences of actions and rewards that can be represented by a custom RL environment, regardless of whether perfect information is present, our research should fulfill you. While we can emulate basic human interaction through a simply-defined environment, we realize and are excited by the fact that eventually the action space will be highly complex, hierarchical, and eventually continuous.
In the Moksha Lab, you will solve cutting-edge problems that connect reinforcement learning rewards to knowledge recommendation modules and unique product interfaces, build complex and hierarchical environments from scratch to emulate specific expert actions, and allow agents to formulate intelligent strategies to determine the sequences of those actions that drive human engagement and discovery in both the short-term and on a longer-term horizon.
To explore the next frontier of reinforcement learning with us, you should have the following (or not, tell us why otherwise!):
You have a PhD or equivalent industrial expertise in the application of reinforcement learning with knowledge of the limitations and frontiers of the field.
You have demonstrated expertise in designing, testing, and deploying end-to-end reinforcement learning solutions, and can help set the guardrails for both experimentation and production deployment.
You are deeply proficient in various policy- or value-based RL methods, from Proximal Policy Optimization (PPO), Deep Q Networks (DQN), and/or Monte Carlo methods, and can strategically experiment with and select between various methods to fit the current situation or intended behavior.
You have 7+ years of programming experience in Python and have development experience with both ML toolkits and RL environments like OpenAI Gymnasium. You are equally capable as a software engineer as you are in formulating novel research ideas and your code proves it.
Training and Deploying RL Systems to Handle Millions of Interactions and Evolve in Real-Time
Not only can humans dynamically shift their strategies based on changes in their environment, making reinforcement learning a great way to model this behavior, but … (infrastructure)
To help us deploy cutting-edge reinforcement learning environments to production, you should have the following:
TBD
About You
Outside of the core technical capabilities in any of the above research areas, in order to thrive within Atman, you must be a highly-conscious individual that also exhibits the following:
You are capable of reasoning from first-principles, where there is no trodden path, as well as critically evaluate when existing ideas are worth considering.
You are articulate and can present your ideas in writing, in person, and in small groups, and are able to educate audiences at all levels on the novel applications and relevance of reinforcement learning.
You can easily distinguish authentic and high integrity thinkers from ‘posers’, while also critically evaluating truth from fiction in your own work.
Your colleagues consider you a highly positive personality, you amplify the energy of others rather than dampen the mood.
Your intensity goes from 0 to 1000 when you become authentically interested in a topic.
You not only have interests in reinforcement learning, but are deeply curious about a range of interdisciplinary topics, ranging from knowledge graphs, recommendations, web-scale search, deep learning, generative AI models, computer vision and the opportunity to build truly intelligent systems in software that are inspired by biology.
You can show high creativity and intensity in your personal pursuits, and your intelligence, creativity, and motivation is not limited to only one discipline.
You consider yourself an innovator and an original thinker, not a follower. You are looking for a way to contribute to the world, and want to join our team to do so.
You want to work in person in London. Don’t worry, we’ll sponsor your visa.
We’re excited to meet you. If you are too, send a short message with a list of your projects and highlights, as well as a brief paragraph of your life’s story, to shravan@atmanlabs.ai.