Principal Python Engineer - ML Infrastructure
Alignerr · Seattle, WA · 2 days ago
RemoteRemoteEngineeringContract
What You'll Do
- Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for data annotation, validation, and quality control at scale
- Improve reliability, performance, and safety across existing Python codebases
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, production-grade fixes
- Collaborate closely with data, research, and engineering teams to support model training and evaluation pipelines
- Participate in synchronous design reviews to drive architectural decisions and iterate on implementation
Who You Are
- Native or fluent English speaker with strong written and verbal communication skills
- 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering
- Deep expertise in distributed computing systems and advanced asynchronous concurrency patterns
- Solid understanding of Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads
- Full-stack development experience with a strong systems programming background
- Able to drive technical strategy and communicate architectural decisions clearly across teams
- Available to commit 20–40 hours per week
Nice to Have
- Prior experience with data annotation, data quality pipelines, or AI evaluation systems
- Familiarity with ML/AI workflows, model training, or benchmarking infrastructure
- Experience building distributed systems or developer tooling
- Background working directly with AI or research engineering teams