Systems Software Engineer - Machine Learning Ops

Job Description

Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows. Collaborate with data, research, and engineering teams to support model training and evaluation at scale.

Requirements: Candidates should have 5+ years of professional experience writing production-grade C++. A strong systems programming background and experience with C++ frontends of ML frameworks or inference runtimes are also required.

Key Skills: C++, Full-Stack Development, Systems Programming, Machine Learning, Data Annotation, Data Quality, Model Training, Benchmarking, Distributed Systems, Performance Profiling, Optimization, Collaboration, Reliability, Performance, Correctness