Principal Rust Engineer - ML Infrastructure

* Design, build, and optimize high-performance Rust systems supporting AI data pipelines and model evaluation workflows * Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Improve reliability, performance, and safety across production Rust codebases * Identify bottlenecks and edge cases in data and system behavior, then implement scalable, lasting fixes * Collaborate with data, research, and engineering teams to accelerate model training and evaluation workflows * Participate in synchronous design reviews to iterate on architecture and implementation decisions

Who You Are

* 5+ years of professional experience writing production-grade Rust for data-intensive applications * Deep understanding of memory management, ownership semantics, and zero-copy deserialization with minimal runtime overhead * Experience integrating Rust with machine learning frameworks or columnar data standards (e.g., Arrow, Parquet) to support model training workflows * Strong written and verbal communication skills in English — you can articulate technical decisions clearly * Able to commit 20–40 hours per week with a high degree of independence and reliability

Nice to Have

* Prior experience with data annotation systems, data quality pipelines, or AI evaluation infrastructure * Familiarity with AI/ML workflows, model training, or benchmarking pipelines * Experience with distributed systems design or developer tooling * Background in performance profiling and systems observability

Why Join Us

* Work on real production systems used by leading AI research labs — not toy projects * Fully remote and async-friendly — work from wherever you do your best thinking * Freelance autonomy paired with meaningful, high-impact technical work * Collaborate with world-class engineers and researchers at the cutting edge of AI * Potential for ongoing work and contract extension as new projects launch