Deep Learning Research Intern — Multimodal BEV Perception
PlusAI
Apply to this jobResponsibilities:
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Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.
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Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using well-defined quantitative metrics.
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Investigate novel multimodal fusion architectures and techniques to improve accuracy, robustness, and efficiency.
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Collaborate closely with research scientists and perception engineers to translate findings into production-ready components.
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Document experiments, results, and insights clearly for the broader research team.
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Perform work in accordance with the company's Quality Management System (QMS) requirements where applicable.
Required skills
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Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
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Strong programming skills in Python and experience building deep learning pipelines.
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Hands-on experience with PyTorch, TensorFlow, or JAX.
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Solid foundation in computer vision, deep learning, and 3D geometry.
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Coursework or project experience with LiDAR-based 3D perception or BEV representation models.
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Understanding of multimodal sensor fusion concepts
Preferred Skills:
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Prior research or project experience in autonomous vehicle perception, robotics, or related fields.
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Familiarity with camera, LiDAR, and radar modalities, including synchronization, calibration, and integration in perception pipelines.
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Experience with distributed training, high-performance computing, or GPU acceleration.
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Publications or open-source contributions in perception, 3D vision, or multimodal learning.
Compensation (from employer):
19–65 USD per year
Summary
Research and develop perception models for autonomous trucks using multimodal sensors.
Job title
Deep Learning Research Intern — Multimodal BEV Perception
Experience level
graduate level
Industry
software
Location requirements
Santa Clara, CA, remote work not specified
Salary
$0k–$0k
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Santa Clara, CA, USA