About You Required • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Robotics, or a related technical field (or equivalent practical experience). • Strong software engineering fundamentals with experience building production systems (Python required; experience with C++/Go a plus). • Experience working with machine learning infrastructure, such as training pipelines, inference/serving systems, data pipelines, or model deployment. • Familiarity with modern ML stacks (e.g., PyTorch/JAX, GPUs, distributed training or inference). • Solid understanding of core systems concepts (version control, Linux, basic networking, CI/CD). • High agency and ownership mindset-you identify problems, propose solutions, and drive execution. • Pragmatic, "right tool for the job" thinker who enjoys collaborating and iterating quickly. Nice to Have • Experience scaling ML systems in production environments. • Experience with distributed systems, large-scale data processing, or GPU optimization. • Exposure to multimodal ML, retrieval systems, or graph-based representations. • Prior startup experience or comfort operating in ambiguous, fast-moving environments. Compensation & Benefits • Base salary range: $180,000 - $250,000 (depending on experience and level) • Meaningful equity with the opportunity to own a real stake in a category-defining company • Comprehensive benefits, including health, dental, vision, and competitive paid time off