Systems Software Engineer - Machine Learning Ops

Role responsibilities

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

Requirements

Candidates should have 5+ years of professional experience in writing production-grade C++. Familiarity with AI/ML workflows and experience with data annotation pipelines or evaluation infrastructure is preferred.

Key skills

C++, Systems Programming, Data Pipelines, Annotation Tooling, Evaluation Systems, Full-Stack Development, Data Annotation, Quality Control, Model Training, Benchmarking, Distributed Systems, AI/ML Workflows, Hardware Acceleration, Production Code, Reliability Improvement, Performance Optimization

Keywords

C++, Systems Programming, Data Pipelines, Annotation Tooling, Evaluation Systems, Full-Stack Development, Data Annotation, Quality Control, Model Training, Benchmarking, Distributed Systems, AI/ML Workflows, Hardware Acceleration, Production Code, Reliability Improvement, Performance Optimization