Systems Software Engineer - Machine Learning Ops

Systems Software Engineer – Machine Learning Ops

Base pay range: $50.00/hr – $75.00/hr

About the Job
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next‑generation models. We work on real production systems and high‑impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high‑performance systems in C++ supporting AI data pipelines and evaluation workflows.
• Develop full‑stack tooling and backend services for large‑scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing C++ codebases.
• Collaborate with data, research, and engineering teams to support model training and evaluation workflows.
• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes.
• Participate in synchronous reviews to iterate on system design and implementation decisions.

• Must‑Have

• Native or fluent English speaker.
• Full‑stack developer experience with a strong systems programming background.
• 5+ years of professional experience writing production C++.
• Experience working with the C++ front‑ends of ML frameworks or inference runtimes.
• Familiarity with hardware acceleration APIs for optimizing model inference.
• Clear written and verbal communication skills.
• Ability to commit 20–40 hours per week.

• Preferred

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

• Submit your resume.
• Complete a short technical screening.
• Project matching and onboarding.

Mid‑Senior level

Contract

Engineering and Information Technology