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Summer Intern Nlp Jobs (NOW HIRING)

WeRide.ai

2026 Summer Intern - PhD

San Jose, CA

$40 - $60/hr

Strong understanding of machine learning approaches and algorithms, including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models. * Strong ...

WeRide.ai

2026 Summer Intern - PhD

San Jose, CA · On-site

$40 - $60/hr

Strong understanding of machine learning approaches and algorithms, including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models. * Strong ...

Huck Adventures

Research Analyst Intern

Boulder, CO · On-site

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Otter. The duration of this internship is 16 weeks with Summer, Fall, and ...

Huck Adventures

Research Analyst Intern

Boulder, CO · On-site

As a Research Intern, you will help us apply cutting-edge NLP algorithms to a wide range of media understanding challenges at Otter. The duration of this internship is 16 weeks with Summer, Fall, and ...

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All JobsSummer Intern Nlp Jobs

Summer Intern Nlp information

What is the difference between Summer Intern Nlp vs Summer Intern Data Science?

AspectSummer Intern NlpSummer Intern Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of NLP toolsUndergraduate or graduate in CS, Statistics, or related fields; programming skills in Python/R
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization in tech, finance, or healthcare sectors
Employer & Industry UsageCommon in tech giants, AI startups, research institutionsWidespread across tech, finance, healthcare, and consulting firms

While both internships involve working with data, Summer Intern Nlp focuses specifically on natural language processing tasks, whereas Summer Intern Data Science covers broader data analysis and modeling. The roles often overlap in skills like programming and data handling, but NLP interns specialize in language models and text analysis, making their experience more tailored to language-centric projects.

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Infographic showing various Summer Intern Nlp job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 51% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

2026 Summer Intern - PhD

WeRide.ai

San Jose, CA

$40 - $60/hr

Other

Re-posted 26 days ago

Job description

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. 

In our internship program, you will:
Join one of our teams, such as Perception, Prediction, Planning and Control, Mapping and Localization, Simulation, and Infrastructure.
Be expected to be an equal contributor on teams of world-class engineers to develop and implement software for our next version of autonomous driving solution.
Learn various technical skills through different projects.
Requirements:
  • Develop innovative machine learning solutions to tackle key problems in autonomous driving, including computer vision, behavior prediction, planning, mapping, and localization.
  • Implement and optimize models for deployment across a wide range of WeRide vehicles.
  • Analyze simulation and real-world road test data to identify and resolve issues in motion planning, behavior prediction, and vehicle control.
  • Collaborate with cross-functional teams to ensure seamless integration of machine learning models and algorithms into autonomous systems.
Qualifications:
  • Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field, with an expected graduation date before the end of 2027.
  • Proficient in C++ and/or Python with knowledge of its latest features.
  • Strong understanding of machine learning approaches and algorithms, including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models.
  • Strong analytical and problem-solving skills.
  • Excellent communication, and cross-functional team collaboration abilities.
  • Passion for innovation in the autonomous vehicle industry.
$40 - $60 an hour
What Happens Next:

We'll take a few weeks to review all applications. If we'd like to move forward with you, we'll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 3 interviews with your future colleagues to better inform our decision.

During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we're unable to offer individual feedback during the interview process.

We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today!

At WeRide, interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2026. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship, hands-on training, and engage in fun team-building activities as well as interactive workshops, enhancing both professional and personal growth.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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