Requirements

Candidates should possess at least two years of professional software engineering experience, demonstrating deep proficiency in at least one systems programming language such as Go, Rust, or C++, and one high-level language like Python or TypeScript. They must have a proven track record of shipping production-grade distributed systems, including the design, implementation, and operation of services that run at scale and maintain high availability. Furthermore, candidates should have hands-on experience with end-to-end machine learning workflows, encompassing data pipelines, model training and tuning, packaging, and low-latency serving utilizing frameworks like PyTorch and CUDA. Strong product sense and the ability to translate ambiguous problems into well-defined engineering tasks are also required, alongside excellent written and verbal communication skills, enabling effective leadership in design documentation and code reviews within a fast-paced, asynchronous environment.