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AI / ML · Research

Senior ML Researcher

Drafted

SeniorOn-site · San FranciscoListed 1d ago
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Backed by

Y Combinator

HQ

🇺🇸 San Francisco

Open roles

6

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Experience Senior · 6+ yrs

About the role

structured by ORI

CareersSenior ML ResearcherOverviewOverviewapplicationDrafted's ValuesWe'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.

What you will do

  • Contribute meaningfully towards advancing the capabilities for our foundational model.
  • Work closely with teammates across both the engineering and research teams.
  • Teach our ML model how to handle multiple layers of context and constraints to consider in the generation process (i.e. Structural engineering, Civil engineering, Electrical, etc).
  • Figure out how to add direct to vector as an output of the model.
  • Use RL to increase the accuracy of the model.

What they are looking for

  • Iterated on novel techniques for meaningfully improving some KPI for diffusion models.
  • Provided code for reproducing said novel techniques if open sourced, otherwise worked with practitioners for productionizing the techniques.
diffusion modelsreinforcement learning
Full posting text

CareersSenior ML ResearcherOverviewOverviewapplicationDrafted's ValuesWe'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 RoleAs an ML researcher you'll contribute meaningfully towards advancing the capabilities for our foundational model. You'll work closely with teammates across both the engineering and research teams.Example ProjectsTeach our ML model how to handle multiple layers of context and constraints to consider in the generation process (i.e. Structural engineering, Civil engineering, Electrical, etc).Figure out how to add direct to vector as an output of the model.Use RL to increase the accuracy of the model.Ideal ExperienceIterated on novel techniques for meaningfully improving some KPI for diffusion models.Provided code for reproducing said novel techniques if open sourced, otherwise worked with practitioners for productionizing the techniques.How We WorkWe work together in person, move quickly, and care deeply about the quality of what we ship. You should expect a high-trust environment with direct feedback, fast learning, and meaningful ownership.Apply NowRole DetailsLocationSan FranciscoEmployment TypeFull timeLocation TypeIn personSalary$150k-$300k + 0.5%-1.5%

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Backed by Y Combinator

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