About this opportunity
Drafted lists this Senior ML Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About Drafted
Drafted is unlocking creativity in the physical world. We're building foundational models and generative pipelines that create floor plans and renderings instantly, so anyone can imagine their dream home. Starting with single-family homes, we plan to verticalize across all dimensions of the pre-construction stack.
Generative architecture is a prime domain for applied research with abundant data, verifiable constraints, and a clear value proposition. Our team of second-time founders, engineers, and designers pairs exceptional product taste with deep technical rigor to turn real-world buildability constraints into an intuitive, creative experience.
Drafted's Values
We're a small team working fully in-person in San Francisco. We value high-ownership builders who want to be a part of a talented, highly motivated team. We're guided by the following values:
Own the mission. We take agency, act like owners, and see problems through to real outcomes.
Build in the open. We value direct feedback, fast learning, and growth through honest collaboration.
Move with care and speed. We iterate quickly while staying deeply respectful of our teammates.
Seek the why. We challenge assumptions, think from first principles, and never stop asking questions.
Design for everyone. We believe anyone should be able to design and build a home they love.
Solve what matters. We embrace hard problems and create new paths forward when none exist.
The Role
As an ML engineer, you'll contribute meaningfully to building core infrastructure for training and running our models in production. Our product blends exceptional product craft with deep technical work, so you'll collaborate closely with both the engineering and research teams.
Example Projects
Teach our ML model how to generate multi-story outputs
Lower the cost of inference by distilling our model
Speed up our data labeling processes with computer assisted labeling
Desired Skillset
Writing production serving code for diffusion models with PyTorch
Written multi node training code for diffusion models with PyTorch
Bonus if you've written and tuned performance with custom Triton / CUDA kernels
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.