Rivian and Volkswagen Group Technologies logo

Data Engineering Intern, AI & Analytics - Fall 2026

Rivian and Volkswagen Group Technologies

Posted about 3 hours ago

About Us

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Role Summary

We are seeking an AI Engineer Intern to contribute to research and development across speech, vision, language, and multimodal AI systems. You will work closely with researchers and engineers to build, train, evaluate, and deploy advanced models for conversational and in-vehicle applications. This role offers hands-on experience across the full AI development lifecycle, with an emphasis on scalable, robust, and efficient models.

About the About the Data Engineering, AI & Analytics Internship: We are looking for talented interns to join various teams within our Data, AI & Analytics department.

Program Details:

  • Timeline: Full-time, September 21 – December 18

  • Location: Palo Alto, CA

 

By submitting a single application to this posting, you will be considered for all of the following internship tracks:

  • AI Engineer Internship

Program Details:

  • Timeline: Full-time, September 21 – December 18

  • Location: Palo Alto, CA or Irvine, CA

 

Responsibilities

  • Contribute to the research and development of generative and discriminative AI models for:

    • Speech and audio systems, including ASR, TTS, speech-to-speech, speaker modeling, diarization, and audio understanding.

    • Vision and video understanding, using transformer-based architectures for spatial and spatiotemporal modeling, self-supervised learning, and diffusion-based generative models.

    • Multimodal and foundation models, such as Vision-Language and Speech-Language Models that integrate visual, audio, speech, and text modalities.

  • Train, supervised fine-tune (SFT), and evaluate deep learning and foundation models on large, domain-specific datasets.

  • Apply reinforcement and generative policy learning techniques, including imitation learning, preference-based optimization, and alignment methods (e.g., RLHF, RLAIF, DPO).

  • Curate, preprocess, and manage multimodal datasets, including audio, image, video, text, and preference or trajectory data.

  • Design and execute experiments to explore new modeling, generative, and alignment approaches.

  • Collaborate with cross-functional teams and clearly document experimental workflows and results.

Qualifications

Minimum Qualifications:

  • Currently pursuing an MS or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field.

  • Strong Python programming skills and experience with PyTorch or TensorFlow.

  • Solid understanding of machine learning, deep learning, generative modeling, and reinforcement learning fundamentals.

Preferred Qualifications

  • Hands-on experience with diffusion models, SFT, reinforcement learning, imitation learning, or preference-based optimization.

  • Experience working with multimodal or foundation models.

  • Exposure to distributed training or large-scale inference systems.

  • Contributions to research projects, publications, or open-source software.

  • Familiarity with transformer-based architectures, diffusion models, or modern speech/video/language modeling approaches.

  • Experience using AI-assisted development tools (e.g., Cursor) for coding, experimentation, or rapid prototyping.

  • Ability to learn quickly and contribute effectively in a collaborative research and engineering environment.

Total Rewards

Full-time positions include base salary, eligibility for an annual performance bonus, and eligibility for equity.

In addition to base salary, Rivian and Volkswagen Group Technologies offers benefits tailored to the local market. For more information on the benefits available for full-time employees, check out our Global Benefits Site.

External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site (https://rivianvw.tech/#careers). If you are a current employee, please apply through our internal job board.

Equal Opportunity

Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [email protected].

Candidate Data Privacy

Rivian and Volkswagen Group Technologies” may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.

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Job details

Workplace

Office

Location

Palo Alto, California

Experience

EN

Salary

94k - 106k USD

per year

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