remote
Machine Learning Scientist - Cartesian Systems
ML Engineer
Lead the development of advanced ML models for indoor positioning and inventory visibility, leveraging computer vision, wireless signal processing, and deep learning to deliver actionable insights for retail operations.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning pipelines for indoor positioning and product location detection.
- Integrate computer vision and wireless signal data to improve accuracy and scalability of spatial intelligence solutions.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliver end‑to‑end solutions.
- Conduct rigorous experimentation, A/B testing, and performance evaluation of models in real‑world retail environments.
- Publish findings, contribute to technical documentation, and mentor junior data scientists.
Requirements
- PhD or Master’s in Computer Science, Electrical Engineering, or related field with strong ML background.
- Proven experience in deep learning, computer vision, and signal processing for location-based services.
- Proficiency in Python, TensorFlow/PyTorch, and data engineering tools.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative setting.
Skills
pythonmachine learningcomputer visiondeep learning