Founding Engineer: Reinforcement Learning for Expert Reasoning
Founding Engineer: Reinforcement Learning for Expert Reasoning

Founding Engineer: Reinforcement Learning for Expert Reasoning

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to build reinforcement learning environments that mimic human reasoning for complex tasks.
  • Company: Atman Labs is pioneering software to emulate human expertise and cognition.
  • Benefits: Enjoy a supportive culture, visa sponsorship, and the chance to work on groundbreaking technology.
  • Why this job: Be part of a team shaping the future of AI with real-world applications across various domains.
  • Qualifications: PhD or equivalent experience in reinforcement learning; 7+ years programming in Python required.
  • Other info: We're looking for innovative thinkers eager to contribute to humanity's future alongside Benevolent AGI.

The predicted salary is between 48000 - 84000 £ per year.

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

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Contact Detail:

Atmanlabs Recruiting Team

shravan@atmanlabs.ai

StudySmarter Expert Advice 🤫

We think this is how you could land Founding Engineer: Reinforcement Learning for Expert Reasoning

✨Tip Number 1

Familiarise yourself with the latest advancements in reinforcement learning and how they relate to human cognition. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Showcase your experience with end-to-end reinforcement learning solutions by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.

✨Tip Number 3

Connect with current employees or alumni from Atman Labs on professional networking platforms. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 4

Prepare to discuss interdisciplinary topics that intersect with reinforcement learning, such as knowledge graphs or human-computer interaction. This shows your ability to think broadly and innovatively, aligning with the company's vision.

We think you need these skills to ace Founding Engineer: Reinforcement Learning for Expert Reasoning

PhD or equivalent industrial expertise in Reinforcement Learning
End-to-end reinforcement learning solution design and deployment
Proficiency in policy- and value-based RL methods
Knowledge of knowledge graphs, GNNs, and graph embeddings
7+ years of programming experience in Python
Experience with ML toolkits and RL environments
First-principles reasoning
Strong written and verbal communication skills
Ability to critically evaluate existing ideas
Interdisciplinary interests
Positive personality and team player
Ability to present ideas effectively in small groups
Passion for innovation and original thinking

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Founding Engineer position. Familiarise yourself with reinforcement learning concepts and how they relate to expert reasoning.

Tailor Your Message: When crafting your application, tailor your message specifically to Atman Labs. Highlight your relevant projects and experiences in reinforcement learning, and explain how they align with the company's mission to emulate human expertise.

Showcase Your Expertise: In your application, clearly demonstrate your technical skills and experience. Mention your PhD or equivalent expertise, programming experience in Python, and any specific projects that showcase your ability to design and deploy reinforcement learning solutions.

Personal Touch: Include a brief paragraph about your life’s story that reflects your passion for innovation and interdisciplinary topics. This personal touch can help you stand out and show your enthusiasm for joining the team at Atman Labs.

How to prepare for a job interview at Atmanlabs

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with reinforcement learning in detail. Highlight specific projects where you've designed, tested, and deployed RL solutions, and be ready to explain the methods you used and why.

✨Demonstrate Your Problem-Solving Skills

Think of examples where you've tackled complex tasks using first-principles reasoning. Be ready to articulate how you approached these challenges and the outcomes of your efforts.

✨Communicate Clearly and Confidently

Practice articulating your ideas succinctly. Whether in writing or speaking, clarity is key. Prepare to present your thoughts on interdisciplinary topics and how they relate to the role.

✨Express Your Passion for Innovation

Share your enthusiasm for the field and your desire to contribute to groundbreaking work. Discuss any innovative ideas you have that could align with Atman Labs' mission to emulate human expertise.

Founding Engineer: Reinforcement Learning for Expert Reasoning
Atmanlabs
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  • Founding Engineer: Reinforcement Learning for Expert Reasoning

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-06-19

  • A

    Atmanlabs

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