- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with proven end-to-end understanding
- Programming experience in a relevant language
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
- Experience building maintainable and testable code bases, including API design and unit testing techniques
- Masters or PhD or equivalent experience in a relevant field (e.g., Computer Vision, Machine Learning, Signal Processing, Robotics, Human-Computer Interaction, Biomedical Engineering or related)
- Proven track record of of design and deployment of end-to-end systems or major components for an complex sensing feature on consumer-facing hardware (such as edge devices, wearables) involving algorithms for sensor-derived data streams, machine learning for real-world data
- Experience in designing and overseeing data collection strategies for user-facing features for relevant sensors, ensuring data quality and scalability through effective cross-functional collaboration
- Experience in building scalable multi-modal data pipelines, model training, and deployment frameworks for wearables or mobile devices in relevant technologies
- Experience with large-scale model training, transfer learning and data-efficient ML in relevant field
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