Machine Learning Researcher - PhD (2023)
Job Description
What you'll do at Figma:
- Drive fundamental and applied research in ML/AI , with Figma product use cases in mind
- Formulate and implement new modeling approaches both to improve the effectiveness of Figma's current models as well as enable the launch of entirely new AI-powered product features
- W ork in concert with other ML researchers, as well as product and infrastructure engineers to productionize new models and systems to power features in Figma's design and collaboration tool
- Explore the boundaries of what is possible with the current technology set and experiment with novel ideas
We'd love to hear from you if you have:
- Recently obtained a PhD or equivalent experience in an industry research role in AI, Computer Science or a related field
- Demonstrated expertise in machine learning with publication record in relevant conferences, or a track record in applying machine learning techniques to products
- Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)
- Experience building systems based on deep learning, natural language processing, computer vision, and/or generative models
- Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
- Experience communicating and working across functions to drive solutions.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Read more about our team
- Investing in Figma: The Decade of Design
- How work is changing at Figma
- Figma's next product is a multiplayer whiteboard called FigJam
- Software Design Startup Figma Is Now Worth $10 Billion
- Figma's Musical!
- The Future of Design Systems is Automated
#LI-CC1
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Date Posted
05/11/2023
Views
12
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