Research Engineer: Superhuman Visual Generation (London)
Research Engineer: Superhuman Visual Generation (London)

Research Engineer: Superhuman Visual Generation (London)

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

  • Tasks: Design and implement cutting-edge visual generation pipelines for innovative AI applications.
  • Company: Atman Labs is pioneering software that emulates human expertise through advanced AI techniques.
  • Benefits: Enjoy a vibrant work culture, visa sponsorship, and the chance to work on groundbreaking projects.
  • Why this job: Join a team at the forefront of AI, where your creativity and technical skills can make a real impact.
  • Qualifications: PhD in Computer Vision or equivalent experience with generative models like GANs and diffusion models required.
  • Other info: We're looking for passionate innovators eager to contribute to transformative technology in London.

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

At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a number of domains to demonstrate the value of our approach – from proactive shopping assistance to personal teachers to healthcare concierges.

We are hiring for a founding research engineer responsible for designing and implementing pipelines to introduce superhuman and imaginative capabilities into our system that unlock complex commercial opportunities. This will involve deploying and fine-tuning an ensemble of state-of-the-art visual generation techniques and models, such as GANs and diffusion models.

You will be responsible for the cutting edge deployment and fine-tuning of visual-generation algorithms and familiar with ways that they can be more performant and fine-tuned to specific use cases. You ideally have technical experience or intuition to work with generative models, have a deep understanding of the current state of the art across different types of GANs, Diffusion Models, NeRFs, and other Visual Foundation Models.

About You

  • You have a PhD in Computer Vision or equivalent industrial expertise in the training, deployment, and fine-tuning of visual generative models, including GANs, NeRFs, and diffusion models.
  • You are able to deeply evaluate the state of the art of various image-generation tasks relevant to a current commercial problem.
  • You have a strong creative imagination and high visual editorial standards for presentation of generated objects.
  • You consider yourself both a hacker and a painter.
  • You are eager to process and analyze large amounts of visual data.
  • You are intimately familiar with the nuances for fine-tuning or optimizing generative models for certain types of behaviors or subtasks.
  • You understand and can critically communicate about state-of-the art tools and frameworks to optimize model performance.
  • You have 7+ years of programming experience in Python and have development experience with both DL toolkits like PyTorch or Tensorflow.
  • You are equally capable as a software engineer as you are in formulating novel research ideas.
  • You are articulate and can present your ideas in writing, in person, and in small groups.
  • You can easily distinguish authentic and high integrity 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 not only have interests in reinforcement learning, but are deeply curious about a range of interdisciplinary topics.
  • You consider yourself an innovator and an original thinker, not a follower.
  • 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.

Research Engineer: Superhuman Visual Generation (London) employer: Atmanlabs

Atman Labs is an exceptional employer that fosters a culture of innovation and creativity, making it an ideal place for ambitious individuals to thrive. Located in the vibrant city of London, we offer competitive benefits, a collaborative work environment, and ample opportunities for professional growth in cutting-edge research areas. Join us to be part of a pioneering team that is shaping the future of artificial intelligence and human interaction.
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Contact Detail:

Atmanlabs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Engineer: Superhuman Visual Generation (London)

✨Tip Number 1

Familiarise yourself with the latest advancements in visual generation techniques, especially GANs and diffusion models. Being able to discuss recent breakthroughs or applications during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Prepare to showcase your creative problem-solving skills. Think of unique project ideas or pipelines that could enhance visual generation capabilities, as this role values innovative thinking and the ability to connect technical skills with imaginative concepts.

✨Tip Number 3

Network with professionals in the AI and computer vision community. Engaging in discussions on platforms like LinkedIn or attending relevant meetups can help you gain insights and potentially get referrals, which can be beneficial when applying for a position at Atman Labs.

✨Tip Number 4

Demonstrate your enthusiasm for interdisciplinary collaboration. Highlight any experiences where you've worked across different fields or with diverse teams, as Atman Labs values individuals who can integrate various perspectives into their work.

We think you need these skills to ace Research Engineer: Superhuman Visual Generation (London)

PhD in Computer Vision or equivalent industrial expertise
Deep understanding of GANs, NeRFs, and diffusion models
Experience in training, deployment, and fine-tuning of visual generative models
Ability to evaluate state-of-the-art image-generation tasks
Strong creative imagination and high visual editorial standards
Proficiency in Python programming (7+ years)
Development experience with DL toolkits like PyTorch or TensorFlow
Ability to deploy models with clean APIs
Critical thinking and reasoning from first-principles
Articulate communication skills for presenting ideas
Ability to process and analyse large amounts of visual data
Familiarity with tools and frameworks for optimising model performance
Interdisciplinary curiosity in topics like knowledge graphs and deep learning
Positive personality and ability to energise team dynamics
High creativity and intensity in personal pursuits
Original thinker and innovator

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision and generative models. Focus on your PhD or equivalent expertise, and detail your programming skills in Python, as well as your familiarity with frameworks like PyTorch or TensorFlow.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Discuss your creative imagination and how it complements your technical skills. Mention specific projects that demonstrate your ability to innovate and contribute to cutting-edge research.

Showcase Relevant Projects: Include a list of projects that showcase your experience with GANs, NeRFs, and diffusion models. Highlight any innovative solutions you developed and the impact they had on previous work or research.

Communicate Clearly: Ensure that your application materials are well-organised and articulate. Use clear language to explain complex concepts, demonstrating your ability to communicate effectively with both technical and non-technical audiences.

How to prepare for a job interview at Atmanlabs

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with generative models like GANs and diffusion models in detail. Highlight specific projects where you've deployed or fine-tuned these technologies, as this will demonstrate your hands-on knowledge and ability to contribute immediately.

✨Demonstrate Creative Problem-Solving

Think of innovative solutions to common challenges in visual generation. During the interview, share examples of how you've approached complex problems creatively, showcasing your ability to think outside the box and generate novel ideas for pipelines.

✨Communicate Clearly and Confidently

Articulate your thoughts clearly, especially when discussing technical concepts. Practice explaining your work to non-experts, as this will show your ability to educate others and communicate effectively within a team setting.

✨Express Your Passion for Interdisciplinary Topics

Share your interests beyond just reinforcement learning and computer vision. Discuss how your curiosity about related fields can enhance your contributions to the team, showing that you're not only a specialist but also a well-rounded thinker.

Research Engineer: Superhuman Visual Generation (London)
Atmanlabs
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  • Research Engineer: Superhuman Visual Generation (London)

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

    Application deadline: 2027-06-12

  • A

    Atmanlabs

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