✨ About The Role
- The Senior Staff ML Engineer will lead the research and development of multitask deep learning models at Flock Safety.
- The role involves improving existing multitask learning architectures and optimizing models for specific use cases.
- The candidate will be responsible for conducting cross-validation experiments and analyzing results to refine data strategies.
- Collaboration with senior team members to develop a list of potential improvements in model performance and stability is expected.
- The position requires generating ideas for dataset improvements and initiating their implementation.
âš¡ Requirements
- The ideal candidate will have a PhD or MS in Computer Science, Electrical Engineering, or a related field with over 10 years of experience in computer vision and deep learning.
- A strong background in multitask learning architectures, particularly with shared backbones and multiple task heads, is essential for success in this role.
- Proficiency in PyTorch and/or TensorFlow for training deep learning models is a must, along with a deep understanding of various deep learning model concepts.
- Candidates should possess good software engineering skills in Python and have basic knowledge of SQL, Git, and Bash.
- A collaborative mindset is important, as the role involves working with cross-functional teams to enhance model performance and stability.