Multimodal Machine Learning Researcher
2 weeks ago
We are seeking a highly skilled research intern to join our team at the Bosch Research and Technology Center North America. As a research intern, you will be working on cutting-edge projects at the intersection of robotics, embodied AI, multimodal machine learning, and natural language processing.
Key Responsibilities- Design, implement, and evaluate methodologies for multimodal machine learning and robotics research
- Develop algorithms for simulated and real-world robotics tasks, such as interactive object perception and instruction-following
- Collaborate with internal industrial colleagues and academic collaborators to advance the state-of-the-art in robotics and AI
- Contribute to the preparation of industrial patents and publish research papers in top conference venues
- Strong background in machine learning, with emphasis on multimodality and representation learning
- Strong background in robotics or embodied artificial intelligence
- Extensive experience in from-scratch neural model implementation and data analytics toolkits
- Experience in implementing, training, and evaluating the performance of CV models, NLP models, and policies
- Experience in software development in Python on Linux-based systems
- Experience in training neural models on multi-machine or multi-GPU setups
- Experience in leveraging Large Language Models, Vision-Language Models, and/or foundation models
- Strong theoretical background in AI/ML/Robotics topics, such as representation learning and transfer learning
Bosch USA is a leading technology company with a diverse product portfolio and a history spanning over 125 years. We are committed to a diverse workforce and are an equal opportunity employer.
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