Autonomous Driving – Internship in Machine Learning

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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.

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 triage and Forensics on large scale data from our robot fleets, 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, in order to enable our R&D teams.

Responsibilities include:

• Design, implement and roll-out important aspects of our state-of-the-art forensics tooling for robotics applications: data processing, model development, validation
• Work on data pipelines, model training and validation, and performance evaluation
• Support the integration and testing of our framework, as well as its continuous operation
• Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for implementation

Required:

• Currently enrolled in a Masters or PhD program
• Minimum GPA of 3.0
• Hands-on experience with Pytorch for model development, training and testing in a Linux environment
• Solid 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 monitoring
• Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, …
• Familiarity with raw data as well as meta-data management system (e.g. Databricks)
• Experience with machine learning platforms like Azure ML
• Usage of modern API frameworks
• Strong communication and team collaboration skills

Bonus points:

• Understanding of the technologies behind self-driving vehicles and/or general robotics
• Familiarity with agile working methodologies and tools (e.g. ADO)
• Ownership- and quality-driven

Equal Opportunity Employer, including disability / veterans 

The U.S. base salary range for this intern position is $34.00-$68.00 per hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*

*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.