onsite
Machine Learning Intern - Perception End-to-End
ML Engineer
Hands‑on internship focused on end‑to‑end perception pipelines, leveraging C++ and cloud infrastructure to develop and deploy computer vision and deep learning models for real‑time applications.
About the role
Key Responsibilities
- Design, implement, and optimize C++ modules for perception pipelines in a cloud environment.
- Collaborate with data scientists to integrate deep learning models into production workflows.
- Perform performance profiling and scalability testing of vision algorithms on distributed systems.
- Contribute to continuous integration/continuous deployment (CI/CD) pipelines for model updates.
- Document code, processes, and results for cross‑functional teams.
Requirements
- Strong programming skills in C++ and familiarity with cloud platforms (AWS, GCP, or Azure).
- Experience or coursework in computer vision and deep learning frameworks (PyTorch, TensorFlow).
- Knowledge of real‑time processing constraints and optimization techniques.
- Excellent problem‑solving abilities and a collaborative mindset.
Skills
ccomputer visiondeep learningmachine learning