$213,000–$263,000 Per Year
C++ Programming Language, Cross-Functional, Data Storage, Distributed Computing, Engineering, Machine Learning, Quality Management, Software Engineering, Systems Scalability, Training Data Sets, Use Cases
We are seeking a skilled ML Ops Engineer to develop and enhance data infrastructure for scalable machine learning workflows.
You will
- contribute to building a data platform supporting large-scale ML models and workflows, including data storage, sharing, and quality management,
- collaborate with cross-functional teams to integrate data solutions for various ML applications like distillation, evaluation, and auto-labeling,
- optimize data efficiency and reliability across diverse use cases.
Requirements include - 4+ years of software engineering experience,
- proficiency in C++, and
- expertise in designing scalable distributed systems.
Preferred qualifications are passion for ML infrastructure, experience handling exabyte-scale datasets, and deploying high-QPS production services.
Salary ranges from $213,000 to $263,000 USD, with benefits and incentives included.