Advancing autonomous driving technologies through AI-powered tooling by developing, evaluating, and deploying machine learning models that analyze real-world driving scenarios from video data.
Requirements
- Proficiency with Python (3+ years) and the Python data stack (Numpy, Scipy, Pandas, Scikit-learn) and/or SQL
- Good understanding in AI, Deep Learning and Machine Learning including but not limited to CNN/RNN architectures, Image and semantic segmentation, video processing
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Experience with one or more Deep Learning packages including but not limited to Pytorch and TensorFlow.
- Excellent skills in data manipulation, preprocessing and feature engineering.
- Experience with predictive modeling (Regression, Classification, Clustering, Dimensionality Reduction)
- Experience with deploying machine learning models in production using containerization and orchestrations tools like Docker
Responsibilities
- Participate in-vehicle test drives to collect data
- Process the corresponding data
- Design artificial intelligence models to perform the desired tasks
- Implement the models in python using Deep learning packages.
- Test the model performance to make it complacence with the desired KPIs.
- Deploy the model using containerization and orchestrations tools.
- Monitor the model’s performance to make sure it maintains the desired performance
Other
- Applicants must be rising seniors in a Bachelor's or Master's program, currently enrolled Ph.D. students, or recent graduates who completed their degree within the past six months.
- GPA of 3.0 or higher
- Must have a valid Driving License
- We are unable to consider OPT/CPT/International candidates.
