Your Role Zendar’s Semantic Spectrum perception technology extracts a rich scene understanding from radar sensing. Our next goal is to develop scene-level world models that represent and forecast the occupancy and dynamics of the environment , enabling robust downstream autonomy across automotive and robotics applications.

As an ML Research Intern, you will work on learning-based world models that estimate full-scene occupancy and motion (occupancy-flow) and predict how the scene evolves over time. These models leverage inputs from radar, camera, and other sensors to provide a unified, reusable representation for downstream tasks such as planning and collision avoidance. You will work closely with experienced engineers and researchers to prototype, train, and evaluate these models on large-scale real-world datasets, and gain hands-on exposure to deploying perception models in real-time systems.

This role is ideal for a PhD student who enjoys designing spatio-temporal modeling, and working with real sensor data in autonomy.

What You’ll Do

• Contribute to the design and implementation of scene-level world models for autonomy
• Develop and experiment with occupancy, free-space, and dynamic occupancy / flow representations
• Train and evaluate spatiotemporal deep learning models
• Work with real-world sensor data from radar, camera, and lidar
• Help define evaluation metrics and analyze model behavior over time and across edge cases

What We Look For

• Currently pursuing a PhD in Computer Science, Robotics, Electrical Engineering, or a related field
• Strong interest or prior experience in scene-level world modeling (occupancy, free space, motion, dynamics) and unsupervised or semi-supervised learning techniques.
• Experience (projects, publications, or thesis work) with spatio-temporal modeling.
• Experience working with any real-world sensor data (camera, lidar, radar, or multi-sensor)
• Proficiency with Python and a major deep learning framework (e.g., PyTorch, TensorFlow)

What We Offer

• Opportunity to make an impact at a young, venture-backed company in an emerging market
• Competitive salary of $55 / hour
• Daily catered lunch and a stocked fridge in the Berkeley office

*Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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