Machine Learning Scientist

What you'll do

• Design, develop, and deploy ML models for indoor positioning and perception; optimize their performance and efficiency.
• Develop tools and datasets to benchmark real-world performance at scale, and translate research into production pipelines.
• Collaborate with engineering and product teams to ship features to enterprise customers.

What they ask for

• PhD in computer science, electrical engineering, or a related field.
• Deep understanding and hands-on experience with machine-learning models for time-series data, including transformer-based architectures and probabilistic models.
• Publications in top-tier ML, vision, or systems venues.
• Ability to write high-quality production code; excellent communication and cross-disciplinary collaboration skills.

Nice to have

• Past startup experience or industry experience in applied software or ML engineering.
• Familiarity with cloud-based model training and inference, mobile ML deployment, wireless localization or radar signal processing, or computer vision and multi-sensor fusion.

Tools

transformer-based architectures, probabilistic models, state estimation, cloud-based model training and inference, computer vision, 2D/3D perception, pose estimation, SLAM

AI focus

Develop and optimize machine-learning models for indoor positioning and perception, and move research into production.