Applied Scientist II, Campaign and Creative

Key job responsibilities
Architect, design, and implement Machine Learning models for vision systems on robotic platforms

Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.

Work with stakeholders across , science, and operations teams to iterate on design and implementation.

Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.

Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment

Work directly with customers and partners to test prototypes and incorporate feedback

Mentor other engineer team members.

A day in the life
- 4+ years of building machine learning models for retail application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Demonstrated expertise in computer vision and machine learning techniques.

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing