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Artificial Intelligence / Machine Learning: Foundation Models - Intern

Sunnyvale, CA, United States

Live, first seen by us 24 days ago
Pay
$42–69/hour · BaseLocation-specific pay — pay source
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:
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Internship — employment source
Employment type in the employer’s posting: Intern
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Artificial Intelligence / Machine Learning: Foundation Models - Intern

What you’ll work on

Full posting
  • Conduct research and engineering in foundation models and data-centric AI

  • Implement research results into Bosch's existing platforms

  • Document and share findings through publications or patent submissions

From the employer’s posting
conduct research and engineering in AI and machine learning, with a particular focus on
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.

What you’ll bring

All qualifications

Core experience

  • Research experience in foundation models and data-centric AI
  • Publications in premier ML, deep learning, or computer vision venues
  • Proficiency in Python or another ML programming language
  • Minimum GPA of 3.0

Preferred experience

  • 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.
  • Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) and AI-based ADAS solutions is a plus.
Qualification wording
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
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.
Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) and AI-based ADAS solutions is a plus.
Education & alternatives
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.
Apply at Bosch Group

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Status in our records
Live
First seen by us
Oct 15, 202624 days ago
Recorded sightings
1
Last seen by us
Nov 5, 2026
Employer says posted
Oct 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 24

Similar jobs usually come down between day 7 and day 72.

At Bosch Group, jobs usually come down by about day 18.

From 4,655 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.

Bosch Group is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • PyTorch
Where the posting names them
- 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
- 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.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

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Job Description

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.

Qualifications

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.

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

Company Description

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. 

Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. 

We Are Bosch.

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.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

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Pay
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:
Location & working pattern

Sunnyvale, CA, United States

Working pattern and location restrictions need checking in the full posting.

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