Staff Machine Learning Engineer, Data Flywheel

Job description

Job responsibilities

• Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets
• Develop methods for data mining and recipes for automated data collection/model update flywheels
• Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates
• Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.
• Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.
• Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation.

Job requirements

• A degree in Computer Science, Engineering, or a related technical field
• 4+ years of professional experience in the field of software engineering and machine learning
• Proficiency in C++ and Python
• Experience in designing distributed systems processing data at scale, especially ML data infra
• Good foundational understanding of ML principles and SOTA methods
• Passionate about building world-class ML infrastructure
• Strong communication skills