Gendo is a revolutionary, browser-based AI platform designed to empower architects and designers to generate accurate, high-quality visual representations of their designs in seconds, not days - a huge improvement on existing workflows.
Within 18 months of founding we built an alpha product, beta product and, in summer of this year, launched our early-access product publicly. Today this product has thousands of users across many organisations, generating tens of thousands of images.
We pride ourselves on being a lean, focussed and efficient team formed of highly talented individuals. This, and our product driven mantra, led to us securing both substantial pre-seed-stage and seed-stage funding from renowned investors within the space, enabling us to expand our team and deliver on our ambitious vision.
At Gendo, design is at the core of our mission— both in the design of our products and also through its power to elevate creative expression, pushing the boundaries of architectural possibilities.
Driven by the power of collaboration, we have refined our technology in partnership with renowned firms such as Zaha Hadid Architects, Benoy, KPF, and David Chipperfield Architects, and of course within the Gendo team itself.
We take an exploratory approach to work, continuously innovating and seeking new ways to enhance the design process for our users.
Our ambition is big, we’re building a passionate, dedicated, world class team to transform the future of architecture and design, making cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision.
Fresh off the back of our large seed-stage investment round, we are looking for an experienced Machine Learning Engineer to lead our ML work streams, and translate product concepts and requirements into a mixture of: research tasks, proof-of-concept applications and production-ready features.
Developing and refining advanced machine learning models for image generation, with a core focus on maintaining control of the output.
Fine-tuning latent diffusion models and training new conditioning models.
Optimising model performance for speed, quality, and ensuring scalability in a cloud-based environment.
Creating and maintaining pipelines for automated model training and deployment.
Assisting backend developers to build and maintain data engineering pipelines for downstream data analysis and training tasks against a data warehouse.
Collaborating closely with the CTO, product designers and engineering team to integrate ML models into the core product.
Conducting research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas.
Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture.
Working with the product team to understand user needs, testing and iterating on features to improve the user experience.
5+ years of hands-on experience in machine learning, with a focus on deep learning, image generation, and/or computer vision.
Good understanding of latent diffusion models, LLMs
Strong programming skills in Python and experience with ML libraries like TensorFlow or PyTorch.
Proven experience deploying ML models in production environments, including model optimisation and scaling.
Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Excellent problem-solving skills and a self-starter attitude.
It would be a bonus for you to have:
Master’s or Ph.D. in Computer Science, Machine Learning, GenAI, or a related field.
(Extra bonus!) Experience or familiarity with CAD or 3D modelling software (e.g. Blender, 3DS Max)
Be a key player in driving the growth of a groundbreaking AI platform that is reshaping the architecture and design industry.
Collaborate with leading architects and designers from top firms like Zaha Hadid Architects and David Chipperfield Architects.
Hybrid work environment with the flexibility to be based in either our Bristol or London office, allowing you to balance work and life effectively.
Work in a dynamic, fast-paced environment where your ideas and initiatives are valued.
Competitive compensation package, including performance-based incentives and equity options.
This is a full time position, during which you’ll spend 3 days a week in either our London or Bristol office, and 2 days a week working remotely from home (in the UK).
Stock options; we firmly believe that you should share our future successes with ownership in the company.
25 days holiday, plus a day off during your birthday week.
Private medical, dental and vision insurance.
Flexible well-being allowance (e.g. gym membership)
Frequent company socials and events
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