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MS/PhD Intern - AI Engineer - 42dot
AI Engineer
Internship for MS/PhD candidates to develop camera‑based end‑to‑end autonomous driving software, build MLOps pipelines, and contribute to production‑ready AI models using Python, C++, ROS, and embedded systems.
About the role
Key Responsibilities
- Design, implement, and test autonomous driving algorithms on camera‑based end‑to‑end pipelines.
- Develop and maintain MLOps data pipelines for continuous model training and deployment.
- Collaborate with embedded systems engineers to optimize AI models for low‑power, high‑performance hardware.
- Integrate and validate models in real‑world vehicle testbeds, iterating quickly with agile sprints.
- Document research findings and production code, ensuring reproducibility and scalability.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, Robotics, or related field.
- Strong programming skills in Python and C++ with experience in ROS.
- Hands‑on experience with computer vision, deep learning frameworks (PyTorch/TensorFlow), and MLOps tools.
- Familiarity with embedded systems and real‑time constraints.
- Excellent problem‑solving, communication, and teamwork abilities.
Skills
pythoncrosmlopscomputer visionagile