Senior Machine Learning Engineer, Parallel Domain

• You're eager to learn
• You are a team-player and understand the importance of clear communication
• You thrive in ambiguous environmentsYou are not afraid to approach new challenges
• Master’s or PhD in computer science or a related field
• Well-versed with developing machine learning models for computer vision tasks in either an industry or research environment
• Extensive experience in python
• Ability to write clean/maintainable code
• Working knowledge of Pytorch or Tensorflow
• You are fluent in english

Desirable

• You’ll be part of the ML research team tasked with establishing best practices on creating and using synthetic data for perception
• You’ll develop perception algorithms, data pipelines, introspection tools, domain gap measures and domain adaptation approaches
• You’ll summarize your findings to help guide our team as well as our customers
• You’ll sync with your team on a daily basis to discuss progress, ideas and problems
• You’ll work with veterans from the gaming, movie and automotive industry
• Creating specific datasets for your experiments
• Adapting/implementing cutting-edge models and data pipelines
• Maintaining and optimizing our code base to enable fast experimentation
• Writing tools to inspect and measure the impact of synthetic data on training
• Summarizing and sharing your findings
• Supporting our customers
• Staying up to date with the latest research on synthetic data