Artificial Intelligence Machine Learning Foundation Models Intern

Bosch; Sunnyvale (CA); On-site; USD 58,000 - 95,000; Full time

Job summary

Bosch is offering an internship in AI and machine learning focused on Foundation Models and data-centric AI within Bosch's AIoT ecosystem. You will contribute to research, tooling, and integration across domains such as ADAS, connected vehicles, Industry 4.0, and IoT.

The role emphasizes research output, publications, and potential patent submissions, with hands-on implementation of results into Bosch platforms. Strong publication history and Python proficiency are expected.

Qualifications

• Master's degree with peer-reviewed publication(s) in machine learning, deep learning, or computer vision, or a Ph.D. in Computer Science or related discipline.
• Research experience in AI technologies including Foundation Models and Data-centric AI.
• Publications in premier ML, DL, and CV journals and conferences.
• Proficiency in Python.
• Minimum GPA of 3.0.

Responsibilities

• Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
• Document and disseminate research findings through high-caliber publications and/or patent submissions.

Skills

Research experience

Python

Education

Master's degree with publications

PhD in Computer Science or related

GPA 3.0

Tools

PyTorch

Job description

Your tasks

During this internship, you will conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI. This includes specialized areas like Foundation Model AI tooling, spatiotemporal machine learning, time series learning, and general representation learning. Applications span Bosch's AIoT (AI+IoT) business domains such as ADAS, connected vehicles, Industry 4.0, IoT, and car multimedia.

A few of your additional responsibilities will include:

• Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
• Document and disseminate research findings through high-caliber publications and/or patent submissions.

Your profile

Required Qualifications:

• Currently pursing a Master's degree with peer-reviewed publication(s) in machine learning, deep learning, or computer vision, OR a Ph.D. in Computer Science or a related discipline.
• Research experience, or an equivalent graduate research background, primarily in AI technologies including Foundation Models and Data-centric AI.
• Publications in premier machine learning, deep learning, and computer vision journals and conferences.
• Proficiency in one or more programming languages commonly used in machine learning (e.g., Python).
• Minimum GPA of 3.0

Desired Qualifications:

• Knowledge in machine learning and deep learning, notably in Foundation Model AI tooling, ADAS, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.
• Familiar with major machine learning platforms like PyTorch.
• Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) and AI-based ADAS solutions is a plus.
• Strong background in math and statistics is a plus.
• Strong interpersonal, communication, and teamwork capabilities.

Contact & additional information

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.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

The U.S. base salary range for this intern position is $42.00-69.00 hourly. 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.

For more information on our culture and benefits, please visit:

Culture and Benefits | Bosch in the USA