Engineer I at Mondelēz International focusing on process design and implementation for innovation and productivity. Collaborating in a hybrid role within cross - functional teams to enhance consumer experience.
About the role
- Deep Learning Engineer at Skydio, leading AI applications to enhance autonomous flight technology and solve computer vision challenges. Collaborate on complex projects in a fast-paced environment.
Responsibilities
- Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
- Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
- Leverage large scale and diverse synthetic data to power deep learning algorithms
- Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
- Refine and optimize models for low-latency on embedded hardware
- Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
- Be a generalist helping out on all aspects of the software when needed
Requirements
- M.S. or Ph.D. in computer science, electrical engineering or related discipline
- Demonstrated hands-on experience designing, training and deploying deep learning models
- Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
- Leverage state-of-the-art academic papers and literature for fast iteration
- Ability to thrive in a fast paced, collaborative and highly technical team environment
- Comfortable navigating and delivering within a complex codebase
- Strong communication skills
Benefits
- Paid vacation time
- Sick leave
- Holiday pay
- 401K savings plan
- Group health insurance plans
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
BC
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