Systems Software Engineer - Machine Learning Ops

Job Description

Design, build, and optimize high-performance C++ systems, data pipelines, annotation tools, and backend services supporting AI model training and evaluation. Improve production system reliability, performance, and safety, identify bottlenecks, and collaborate with research, data, and engineering teams on scalable solutions.

Requirements: Requires fluent English communication, strong systems programming and full-stack development skills, deep C++ expertise, and at least five years of professional production C++ experience. Candidates should have experience with ML framework frontends or inference runtimes, familiarity with hardware acceleration APIs, and the ability to work consistently for 20–40 hours per week.

Key Skills: C++, Systems Programming, Full-Stack Development, Machine Learning Operations, AI Data Pipelines, Data Annotation, Data Validation, Quality Control, Backend Services, ML Frameworks, Inference Runtimes, Hardware Acceleration, Distributed Systems, Performance Profiling, Debugging, Systems Reliability Engineering

Benefits: Fully Remote Work, Flexible Schedule, Freelance Autonomy, Potential for Ongoing Work and Contract Extension