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At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
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• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
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The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Job DescriptionAt Bosch, “Invented for Life” is what drives us and our vision of global future mobility. Bosch has an outstanding track record on pioneering key technologies worldwide which shapes the way we move. The next big milestone in our sight is to make autonomous vehicles a reality, bringing its benefits to today's roads.
We are looking for students in the machine learning space who are interested in solving the hardest problems in the development and productization of automated driving with us.
We are looking for an accomplished student in the ML space with strong technical skills to work with us on the design, implementation, training and roll-out the next generation of AI-enabled robotics test system, a core component of the realization of self-driving vehicles. As an intern on the team, you will be working on all important aspects of the implementation to enable our R&D teams.
Responsibilities include:
Design, implement and roll-out important aspects of our state-of-the-art robotics test framework, enabling the execution of sophisticated test campaigns on various hardware setupsDefine and execute the integration of AI features for test management and executionWork on data pipelines, model training and validation, and performance evaluationSupport the integration and testing of our framework, as well as its continuous operation in productionContinuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for the next versionQualificationsMinimum Qualifications:
Currently pursing a Bachelor's, Masters, or PhD degree in CS, CE, E/E or comparable related to ML/AIMinimum GPA of 3.018 years or olderStrong coding skills in pythonHands-on experience with Pytorch for model development, training and testing in a Linux environmentSolid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models.Strong understanding of the machine learning lifecycle—from data preprocessing and model training to evaluation, deployment, and monitoringExperience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, RAG…Familiarity with raw data as well as meta-data management system (e.g. Databricks)Experience with machine learning platforms like Azure MLUsage of modern API frameworks as well as MCP serversStrong communication and team collaboration skills
Bonus points:
Equal Opportunity Employer, including disability / veterans
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.