Netradyne is looking to solve complex problems across various domains in the transportation ecosystem by developing and implementing advanced deep learning and artificial intelligence models.
Requirements
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Proven experience in developing and implementing machine learning and deep learning algorithms.
Proficiency in programming languages such as Python or C++, and familiarity with ML frameworks such as TensorFlow, JAX or PyTorch.
Strong publication record in top-tier AI, machine learning, and related conferences and journals.
Familiarity with ML frameworks such as TensorFlow, JAX or PyTorch
Proficiency in programming languages such as Python or C++
Experience with data pipelines and data management
Responsibilities
Conduct original research and develop DL/AI models under the guidance of senior researchers.
Develop novel algorithms and models to address challenging problems
Design and execute experiments to validate DL/AI models
Optimize model performance and scalability
Perform rigorous testing and validation to ensure robustness and accuracy
Preprocess and analyze large datasets to extract meaningful insights
Write and maintain research code
Other
Excellent communication skills, both written and verbal, with the ability to present complex technical information to a diverse audience.
Excellent problem-solving skills and the ability to work independently and as part of a team.
