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 memory safety across existing production Rust codebases
• Collaborate with data, research, and engineering teams to accelerate model training and evaluation workflows
• Identify and resolve bottlenecks and edge cases in complex data and system behavior
• Participate in synchronous design reviews and contribute to high-impact architectural decisions

Requirements:

• Native or fluent English speaker with clear written and verbal communication skills
• 5+ years of professional experience writing production-grade Rust for data-intensive applications
• Deep expertise in memory management, ownership semantics, and zero-copy deserialization with minimal runtime overhead
• Proven experience integrating Rust with machine learning frameworks or columnar data standards to support model training workflows
• Able to commit 20–40 hours per week with reliable availability
• You write code that other senior engineers learn from — and you're proud of it

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
• Experience with distributed systems, developer tooling, or systems programming at scale

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, technically rigorous work
• Make a direct, tangible impact on how AI understands and generates systems-level code
• Potential for ongoing work and contract extension as new projects launch
• Training and onboarding support provided — hit the ground running