Hand model • san francisco ca
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About the Team
The Core Models team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic.
About the Role
As a Model Designer, you’ll have an outsized impact on how our models interact and resonate with users.
You’ll strike a delicate balance between maximizing the model’s capabilities, reading in between the lines in user queries to understand how best to help, and upholding user trust.
We’re looking for people who are passionate about the intersection of design, technology, and user experience — and are up for the challenge of defining new human-AI interaction paradigms.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you’ll join a small team in evolving and expanding the model design function. You will:
Collaborate closely with researchers to understand, predict, and design model behavior.
Partner with product managers and designers across the company to ensure a cohesive voice and approach.
Proactively identify ways to improve our models based on product sense, user feedback, quantitative insights, and the research roadmap.
Come up with creative strategies for collecting high-quality data.
Do whatever needs to be done to make our models better.
You might thrive in this role if you:
Possess exceptional taste, creativity, and writing skills, allowing you to craft responses that delight users.
Don’t mind ambiguity — you’re happy to throw yourself into a new, unfamiliar environment, build relationships, define a problem, and make progress.
Love experimentation, and are willing to test and reject new ideas when the results don’t pan out.
Exhibit high levels of empathy and self-awareness required to serve everyone in the world.
Enjoy tackling profound and often philosophical questions while always driving towards clarity.
Demonstrate technical intuition to learn how changes in data can affect overall model behavior.
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