Sr. Machine Learning Engineer @ Rayon

Rayon’s mission

• Rayon is building the next generation of architectural design software. More collaborative, simpler, smarter, and more beautiful.

• The design of buildings and spaces has a huge impact on our lives. Climate change, affordable housing, sustainable urbanization, future of work: all of these challenges will require us to design a better and more efficient built environment.

• But, whereas architectural design is by nature a collaborative endeavor, the tools currently used by architects and designers are not made for collaboration and sharing knowledge. They are complex, they are expensive, and they are stuck in an era pre-internet with desktop computers as their paradigm.

• At Rayon, we are building a browser-based collaborative real-time multiplayer editor in order to democratize architectural design and empower designers to create more efficient spaces and buildings.

Who are we?

• We are a small team of 15 people passionate about web technology, architecture, and the built environment. First and foremost, we love building amazing tools for creators.

• Rayon was co-founded in October 2021 by Bastien Dolla, an engineer (Polytechnique & Ponts et Chaussées) with 15 years of experience in tech and real estate, and Stanislas Chaillou, an engineer and an architect (EPFL & Harvard) with a background in ML research applied to architecture.

• Rayon recently raised a €4million Seed round, backed by world-class Investors (Northzone, Foundamental, Seedcamp, 20VC, Kima) and amazing business Angels such as Ralph Gootee, co-founder of plangrid (acq. by Autodesk), Joe Thomas co-founder and CEO of Loom , the architect Norman Foster (Foster+Partners), Rasmus Andersson (ex-Spotify, ex-Meta), Thibaud Elziere founder of eFounders, Nicolas Steegmann co-founder of Stupeflix, Riggs Kubiak founder of Honest buildings (acq. Procore), Jonathan Widawski founder & CEO of Maze.

• Rayon is a French company based in Paris. We are open to remote positions in time zones close to European Central Time.

What will you be doing?

Well, as you know, recent developments have made AI all the more relevant for designers. Rayon aspires to bring this new generation of AI models to space designers; robust, useful, and powerful features can today be shipped to enhance light-BIM workflows.

More concretely, as a Senior Machine Learning Engineer, you will be working on Rayon’s ML-based features; on a daily basis, you will be:

• Helping us scope Rayon’s AI roadmap.

• Working on quick exploratory cycles, building, repurposing and retraining state-of-the-art ML models.

• Building robust data pipelines and deploying your models at scale.

• Putting models in production to serve a thriving community of designers.

• Collaborating with our product team to scope our AI features and iterate over their impact.

• Working with our engineering team to integrate your work into our product.

What are we looking for?

<aside> 💡 These points are here to give you an idea of what we think would be a good fit for the job. They are not hard requirements. If you do not fit them perfectly but feel like you would do the job well, do not hesitate to contact us!

</aside>

• 4+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field.

• Graduate-level degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Experience with developing machine learning models at scale from inception to deployment.

• Knowledge developing and debugging in languages such as Python and shell scripts.

• Experience working with standard ML frameworks (TensorFlow, Keras, PyTorch, etc).

• Ability to present creative work to teams & partners. Collaborative attitude and passion for brainstorming creative solutions with designers and domain experts.

• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.

• The ability and the desire to continually learn new things and improve.

• Complete fluency in English and strong writing skills are expected.

Why should you join Rayon?

• Help build a product that has the potential to profoundly change for the best how our built environment is designed.

• Lay down the foundations of Rayon’s AI feature set.

• Be part of a small team of passionate members whose culture puts the highest value on design and engineering craftsmanship.

• Competitive compensation and significant equity upside as one of Rayon's first team members.

What’s our process?

• Send an email

  • Telling us a bit more about yourself

  • Attaching your resume

  • And giving us a link to your GitHub!

• We’ll do a first 30-minute call to get to know each other

• We’ll then do a more in-depth interview, where we can explore some of your personal projects, and go through some design case studies together. This will be the opportunity for you to learn more about Rayon’s design philosophy.

• A longer call (if possible IRL) with both co-founders to talk about vision and company culture.

• That’s it. You’ll get an offer if it’s a fit!