Machine Learning Intern,Perception; End-to-end Job Singapore,Research/Development

Position: Machine Learning Intern, Perception (End-to-end)

Mission

Summary:

We are looking for a Machine Learning Research Intern to work on end-to-end autonomous driving, with a focus on learning-based models that connect perception, reasoning, prediction, and action. The research direction may include Vision-Action models, Vision-Language-Action models, world models, world-action models, and other foundation-model-inspired approaches for autonomous driving. This role involves literature review, model prototyping, experiment design, evaluation, and analysis.

The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship.

Responsibilities:

Conduct research on end-to-end autonomous driving models, including Vision-Action models, Vision-Language-Action models, world models, world-action models, and related approaches
Explore learning-based approaches that connect perception, scene understanding, future prediction, decision-making, and driving action generation
Prototype, train, and evaluate models using multi-modal autonomous driving data, including images, videos, LiDAR, radar, maps, ego-motion, trajectories, and driving logs
Investigate different learning paradigms, such as imitation learning, reinforcement learning, generative modeling, or hybrid learning-based planning
Analyze model performance, robustness, generalization, and failure cases in complex driving scenarios
Document research ideas, model designs, experiment results, and key findings in clear and reproducible formats
Contribute to technical reports, invention disclosures, patent applications, and research paper writing and submission

Required Skills:

Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, Robotics, Electrical Engineering, or a related field
Research experience in at least one of the following areas: computer vision, sequence modeling, imitation learning, reinforcement learning, robotics, planning, or autonomous driving
Proficient in Python and/or C++
Proficient with deep learning frameworks such as PyTorch or Tensor Flow
Experience conducting research-oriented experiments, including model training, evaluation, ablation studies, and result analysis
Experience working with structured or unstructured data, such as images, videos, point clouds, trajectories, maps, or sensor logs
Strong problem-solving skills and ability to communicate research ideas and experimental findings clearly

Preferred

Skills:

Research or project experience in autonomous driving, robotics, embodied AI, or learning-based planning
Experience with end-to-end autonomous driving, Vision-Action models, Vision-Language-Action models, world models, or world-action models
Familiarity with imitation learning, reinforcement learning, or generative modeling
Familiarity with autonomous driving datasets, benchmarks, or simulators such as nu Scenes, Waymo Open Dataset, Argoverse, NAVSIM, CARLA, or related frameworks
Experience with large-scale model training, distributed training, or efficient fine-tuning
Publications, open-source contributions, or strong research projects in relevant areas are a plus

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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Machine Learning Intern, Perception; End-to-end