2027 Summer Intern, PhD, Perception/Road Understanding, ML Engineer

Responsibilities

• Designing and Building Machine Learning Models: Writing clean, high-performance code to implement core algorithms for lane geometry and topology understanding
• Running Experiments and Training Pipelines: Setting up data pipelines and training neural networks across vehicle sensor modalities and map priors, with advanced training techniques.
• Cross-Functional Collaboration: Partnering closely with research mentors, buddy, and upstream/downstream engineering teams to evaluate downstream planning impact and package insights for publication or internal deployment.

Requirements

• Currently pursuing a PhD in Computer Vision, Robotics, Electrical Engineering, Machine Learning, or a related quantitative discipline.
• Strong programming proficiency in Python and solid experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow).
• Hands-on experience designing, training, and debugging deep learning architectures for Computer Vision, 3D Perception, or Graph Neural Networks (e.g., Transformers, query based detectors, GNNs, or BEV perception).
• Solid foundational knowledge of 2D/3D geometry, coordinate transformations, and spatial/relational reasoning.

Preferred

• Track record of publications in top-tier conferences in machine learning, computer vision, or robotics (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, ICRA, CoRL, AAAI).
• Experience with vectorized HD map learning, lane topology estimation, or dynamic roadgraph modeling.
• Experience with large-scale distributed model training and data infrastructure.
• Familiarity with autonomous vehicle perception stacks, sensor fusion (camera, LiDAR).

We prefer

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

• $85
• $85 USD