Machine Learning Scientist

About the Role

We're looking for a highly motivated, product-oriented Machine Learning Scientist to join our core R&D team at a pivotal moment in our growth. You'll have a direct impact on key positioning algorithms & models, take ownership of new features, and help shape the technical roadmap of a category-defining product. We move fast, care deeply about quality, and value people who take initiative and crave real-world impact.

You'll be joining us in-person in the heart of Kendall Square, Cambridge, next to MIT and the Charles River.

Responsibilities

• Design, develop, and deploy ML models for indoor positioning and perception.
• Optimize model architectures for performance and efficiency.
• Develop tools and datasets to benchmark performance in the real world and at scale.
• Translate research into production pipelines.
• Collaborate with engineering and product to ship features to enterprise customers.

Qualifications

• PhD in computer science, electrical engineering, or related field.
• Deep understanding and hands-on experience in machine learning models for time-series data, including both transformer-based architectures and probabilistic models (e.g., state estimation).
• Publications in top-tier ML, vision, or systems venues (e.g., ACL, NeurIPS, CVPR, ECCV, ICCV, MobiCom, MobiSys, MLSys, ICASSP, ICML, ICRL, ICRA, IROS).
• Ability to write high-quality production code.
• Excellent communication skills and ability to collaborate across disciplines.
• Thrive in fast-paced, dynamic environments and take pride in producing high-quality work.

Nice to have

• Past startup experience
• Industry experience in applied software or ML engineering.
• Familiarity with cloud-based model training and inference.
• Experience in optimizing and deploying ML models in mobile environments.
• Background in wireless localization or radar signal processing
• Experience with computer vision or multi-sensor fusion techniques (e.g., 2D/3D perception, pose estimation, tracking, SLAM).