Applied Scientist

Required

• 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.
• Bonus: experience training or fine-tuning models using human feedback, reward signals, or other adaptive learning techniques.
• 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. We encourage you to apply, even if you don't check every box.
• Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.