Lead Applied Scientist

We are looking for a Lead Applied Scientist to join our Research team. In this role, you will drive full-cycle research development in the sensors domain and report directly to the Head of Research. You will guide the team to meet key milestones and timelines. Your focus will combine technical leadership in processing visual and low-level sensor data with people management and team performance tracking.

• →Lead a team of 4-8 Applied Scientists to advance research projects and algorithmic performance using a mix of state-of-the-art or "classical" techniques
• →Own and maintain existing CV features
• →Prototype new features within computer vision and sensor domains
• →Coordinate with the data team to analyze research test data, develop evaluation metrics, and optimize algorithms

• 5+ years of experience in research, data science, or data analysis
• 1+ years of experience leading a research group or technical team on data science projects
• Strong background as a software engineer working on advanced algorithms, or as a researcher with a track record of shipping solid production-ready software engineering solutions
• Deep theoretical and practical applied knowledge of Computer Vision algorithms
• Solid understanding of deep learning frameworks, machine learning, and data analysis concepts
• Strong experience in Python
• Good knowledge of CS fundamentals, algorithms, and data structures
• Bachelor’s Degree in Math, Computer Science, Robotics, or a related field
• Proficient in written and spoken English

• Experience with LLMs and Generative AI frameworks
• Experience with DSP, Computer Vision segmentation, Metric Learning, and Kalman filters
• Experience with C++ or a willingness to develop strong C++ expertise
• Experience with AWS and Docker