Remote Machine Learning Engineer

Summary

Join Ryz Labs as a Machine Learning Infrastructure Engineer to help build and enhance the ML platform for one of their clients.

Requirements

• BS or MS in computer science with focus in data engineering and large scale ML systems
• 3+ years of industry experience building, running and improving large-volume ML training and validation pipelines
• Experience with building native cloud applications
• Experience with large scale data processing pipelines in production
• Proficient in at least one of the following languages: C++, Python, or Go
• Hands-on experience and good knowledge of Computer Vision and Deep Learning

Responsibilities

• Develop and maintain ML infrastructure, such as sensor data ETL pipelines, hard example data mining, continuous training pipelines, annotation platform, etc
• Develop MLOps system for managing lifecycle of ML cloud training and inference as a service pipelines. Continuously improve ML model development, management and deployment processes
• Work together with ML engineers, design metrics for ML tasks to mine sensor data of interest
• Design and implement algorithms, such as collaborative filtering, active learning, etc., to rank/score annotation candidates
• Work with annotation provider on setting up the annotation process, quality control and feedback loops
• Make sensor data and its derivatives widely discoverable and accessible for Robotics Engineers across the entire company

Benefits

Remote work