Applied Scientist
Fremont, Palo-Alto, Berkley, Sunnyvale, Mountain View, San Jose, Oakland, Redwood City, California, United StatesAll locationsFremont, Palo-Alto, Berkley, Sunnyvale, Mountain View, San Jose, Oakland, Redwood City, California, United StatesSan Francisco, California, United States Hybrid
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About the role
We're looking for an Applied Scientist who thrives at the intersection of applied research and real-world products. You'll push the frontier on efficiency, gradient-free exploration, real-time learning, and interface design — translating advances in these areas into adaptive ML systems that ship. You'll contribute meaningfully to both the research roadmap and product strategy, and lead the design and implementation of the systems that come out of it.
What you'll bring
- 3–4 years of industry experience in machine learning or applied research, with a track record of deploying ML systems that solved real business problems.
- Strong software engineering skills and fluency with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
- Hands-on experience with online learning, reinforcement learning, or efficient ML architectures.
- Solid understanding of data modeling for training and how curation decisions shape model performance.
- Excellent communication skills and the ability to align technical work with high-level goals.
- A mindset of ownership, curiosity, and a bias toward action.
- Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas.
- You don't need to be perfect, but you do need to be adaptable.
- Bonus: experience training or fine-tuning models using human feedback, reward signals, or other adaptive learning techniques.