Staff Machine Learning Software Engineer

📋 Description

• Design, build, and maintain scalable ML pipelines for data ingestion, model training, evaluation
• Build software systems that allow ML workloads to scale to larger datasets, larger models, and more
• Develop clean and reusable interfaces between data, models, training, evaluation, and downstream
• Own and improve the health of the MEGA codebase, including software architecture, testing
• Identify and resolve performance, reliability, and usability bottlenecks across ML workflows.
• Build and maintain infrastructure that supports multiple researchers and ML projects without

🎯 Requirements

• Strong software engineering skills and experience building high-quality, maintainable software.
• Experience building and maintaining machine learning pipelines or infrastructure, such as data
• Experience designing software systems and abstractions that are reliable, reusable, and able to
• Hands-on experience with modern machine learning frameworks and a good understanding of how ML
• Strong debugging skills and the ability to investigate problems across complex ML systems.
• Experience with software testing, code quality, and engineering practices for maintaining a healthy

🎁 Benefits

• Competitive equity package
• Hybrid working policy combining office and home work
• Core working hours for flexible schedule