Hybrid role reporting to a Technical Lead Manager.
Work on large-scale data sets and training recipes for labeling and data collection flywheels.
Develop data mining methods and automated data collection/model updates.
Evaluate real-world model performance and detect regressions.
Design scalable infra for model improvement and product expansion.

🎯 Requirements

Degree in Computer Science, Engineering, or related field
4+ years in software engineering and machine learning
Proficiency in C++ and Python
Experience designing distributed systems processing data at scale
Solid ML fundamentals and SOTA methods
Passion for building world-class ML infrastructure

🎁 Benefits

Salary range: $250,000 – $334,530 USD
Discretionary annual bonus, equity incentives
Generous benefits program

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