Engineer, ML Systems

Required

• Bachelor’s degree in Computer Science, Machine Learning, or a related field
• 3-4 years of experience in machine learning, applied research, or systems-level engineering for AI.
• Strong software engineering skills and familiarity with Python.
• Exposure to working with observability tools in the past (e.g. OpenTelemetry, Docker, Grafana).
• Excellent communication skills and ability to align technical work with high-level goals.
• A mindset of ownership, curiosity, and a bias toward action.
• Experience with online learning, reinforcement learning, or efficient ML architectures.
• 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.