BASF's trinamiX brand is expanding into the US to develop innovative solutions that redefine what's possible by delivering technologies that empower industries, enhance lives, and drive progress through precision and reliability. They aim to improve decision-making and security with cutting-edge technology by pioneering advanced sensing technologies to shape a smarter, more connected future.
Requirements
- over 2 years of experience in tackling machine learning challenges within a collaborative environment, particularly with real-world data, including image classification, object detection, segmentation, and embeddings.
- Demonstrate strong proficiency in Python 3, PyTorch, and deep learning architectures.
- Be comfortable working in a Linux environment.
- Have experience with depth cameras and sensor data, along with familiarity in Pytest, Pandas, NumPy, MATLAB, and/or C++ (preferred).
Responsibilities
- Develop machine-learning-based material classifiers for the smartphone and automotive industries
- Conduct research on advanced deep learning architectures and training paradigms
- Build prototypes for our next generation of products that incorporate trinamiX's proprietary optics and biometric security technologies
- Create real-world systems designed to operate effectively for hundreds of thousands of users
- Training and evaluating deep convolutional and vision transformer neural networks to enhance the accuracy, generalizability, and speed of our material classifiers.
- Conducting exploratory data analysis to develop models that align with product requirements.
- Performing hyperparameter tuning to optimize model performance.
Other
- Hold a Bachelor’s degree in Computer Science with a specialization in AI/ML or a related field.
- Possess experience in project management and coordination.
- Exhibit analytical thinking, creativity, responsibility, initiative, and a hands-on approach.
- Relocation assistance provided
- Applicants must be currently authorized to work in the United States on a full-time basis.
