Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations in the trucking transportation industry.
Requirements
- Strong programming skills in Python or C++
- Experience with ML frameworks such as PyTorch
- Strong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning
- Ability to develop, train, and validate AI/CV/ML models
- Experience in SOTA deep learning techniques, e.g. multi-modal foundational models
- Strong programming experience using python and pytorch
- Prior software engineering or research experience in an internship, work experience, or widely used contributions in open source repositories (e.g. GitHub)
Responsibilities
- Contribute to breakthroughs that directly shape the future of our technology.
- Dive into cutting-edge research challenges.
- Develop, train, and validate AI/CV/ML models.
- Work with cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies.
- Create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry.
- Contribute to transformative AI solutions.
- Gain collaboration opportunities with industry leaders to grow your career and research.
Other
- Currently enrolled in a PhD program in a relevant field (3+ years into program preferred)
- Experience working and communicating cross functionally in a team environment
- Track record of research excellence demonstrated by grants, fellowships, patents, or publications at top conferences such as CVPR, ICCV, ICRA, IROS, etc.
- Strong track-record of published research
- Pursuing a doctorate degree and are currently located in the United States.
