Founding Engineer: Reinforcement Learning for Expert Reasoning
Atman Labs, London
About Atman Labs At Atman Labs we are building software to emulate human expertise. We believe our research poses a credible path to emulate true human cognition and interaction with deep knowledge and proactive reasoning. Our unique research is inspired by biological priors, lies at the intersection of custom Reinforcement Learning environments and Large-Scale Knowledge Representation, and is evolved and compounded with commercial application. We are deploying our platform in products across a number of commercial domains to demonstrate the value of our approach – starting with building proactive shopping concierges for e-commerce, to eventually launching expert systems across travel, healthcare, education, science and more. The Next Frontier of Reinforcement Learning: Emulating How Humans can Reason about Knowledge to Solve Complex, Long-Horizon Tasks We are hiring for a founding engineer that will join the team working on building reinforcement learning environments to reason on structured knowledge representations, to mimic the cognitive abilities human experts have when solving complex tasks. As a specialist in reinforcement learning rooted in first-principled, biological thinking, you are able to discern that biological systems have infinite sequences of actions and rewards, which are also influenced by the knowledge and memories that these systems possess. As a founding engineer focusing on expert planning, you will design custom reinforcement learning environments that (a) turn expert tasks into concrete and hierarchical goals, such as making shopping recommendations or teaching a challenging concept, (b) explore web-scale knowledge graphs to model the reasoning abilities of experts, and (c) interact with a variety of novel human-computer interfaces where feedback influences the system’s reward. Moreover, training reinforcement learning agents in human-centric applications will require large amounts of human interaction data. Generating infinite data by building interaction simulation models is an exciting avenue you will help tackle. About You We are looking for ambitious and independent thinkers who have a deep desire to contribute and want to be part of the team that makes this a reality for humanity. Our founding team prides itself in building a highly conscious culture that intentionally uplifts each member towards their personal ambitions while fostering collective innovation. To contribute to and grow alongside our team, you should either have the following qualities, or be willing to rise to them with our support: Technical You have a PhD or equivalent industrial expertise in the application of reinforcement learning. You have demonstrated expertise in designing, testing, and deploying end-to-end reinforcement learning solutions. You are deeply proficient in various policy- or value-based RL methods, and can strategically experiment with and select between various methods. You have some intuition and interest in knowledge graphs, GNNs, and graph embeddings. You have 7+ years of programming experience in Python and have development experience with both ML toolkits and RL environments. Personal You are capable of reasoning from first-principles and critically evaluate when existing ideas are worth considering. You are articulate and can present your ideas in writing, in person, and in small groups. You are eager to amplify a team that has deep research and product experience. You can easily distinguish authentic thinkers from ‘posers’. Your colleagues consider you a highly positive personality. Your intensity goes from 0 to 1000 when you become authentically interested in a topic. You have interests in interdisciplinary topics. You consider yourself an innovator and an original thinker. You want to work in person in London. Don’t worry, we’ll sponsor your visa. We have the ambition to usher the world towards co-existing alongside Benevolent AGI. We are looking for ambitious and independent thinkers who have a deep desire to contribute and want to be part of the team that makes this a reality for humanity. 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 .
#J-18808-Ljbffr
Atman Labs, London
About Atman Labs At Atman Labs we are building software to emulate human expertise. We believe our research poses a credible path to emulate true human cognition and interaction with deep knowledge and proactive reasoning. Our unique research is inspired by biological priors, lies at the intersection of custom Reinforcement Learning environments and Large-Scale Knowledge Representation, and is evolved and compounded with commercial application. We are deploying our platform in products across a number of commercial domains to demonstrate the value of our approach – starting with building proactive shopping concierges for e-commerce, to eventually launching expert systems across travel, healthcare, education, science and more. The Next Frontier of Reinforcement Learning: Emulating How Humans can Reason about Knowledge to Solve Complex, Long-Horizon Tasks We are hiring for a founding engineer that will join the team working on building reinforcement learning environments to reason on structured knowledge representations, to mimic the cognitive abilities human experts have when solving complex tasks. As a specialist in reinforcement learning rooted in first-principled, biological thinking, you are able to discern that biological systems have infinite sequences of actions and rewards, which are also influenced by the knowledge and memories that these systems possess. As a founding engineer focusing on expert planning, you will design custom reinforcement learning environments that (a) turn expert tasks into concrete and hierarchical goals, such as making shopping recommendations or teaching a challenging concept, (b) explore web-scale knowledge graphs to model the reasoning abilities of experts, and (c) interact with a variety of novel human-computer interfaces where feedback influences the system’s reward. Moreover, training reinforcement learning agents in human-centric applications will require large amounts of human interaction data. Generating infinite data by building interaction simulation models is an exciting avenue you will help tackle. About You We are looking for ambitious and independent thinkers who have a deep desire to contribute and want to be part of the team that makes this a reality for humanity. Our founding team prides itself in building a highly conscious culture that intentionally uplifts each member towards their personal ambitions while fostering collective innovation. To contribute to and grow alongside our team, you should either have the following qualities, or be willing to rise to them with our support: Technical You have a PhD or equivalent industrial expertise in the application of reinforcement learning. You have demonstrated expertise in designing, testing, and deploying end-to-end reinforcement learning solutions. You are deeply proficient in various policy- or value-based RL methods, and can strategically experiment with and select between various methods. You have some intuition and interest in knowledge graphs, GNNs, and graph embeddings. You have 7+ years of programming experience in Python and have development experience with both ML toolkits and RL environments. Personal You are capable of reasoning from first-principles and critically evaluate when existing ideas are worth considering. You are articulate and can present your ideas in writing, in person, and in small groups. You are eager to amplify a team that has deep research and product experience. You can easily distinguish authentic thinkers from ‘posers’. Your colleagues consider you a highly positive personality. Your intensity goes from 0 to 1000 when you become authentically interested in a topic. You have interests in interdisciplinary topics. You consider yourself an innovator and an original thinker. You want to work in person in London. Don’t worry, we’ll sponsor your visa. We have the ambition to usher the world towards co-existing alongside Benevolent AGI. We are looking for ambitious and independent thinkers who have a deep desire to contribute and want to be part of the team that makes this a reality for humanity. 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 .
#J-18808-Ljbffr
