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Summer Intern, Scientist

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    Research & Development
  • Oakland

Requirements

  • Internship is open to current students enrolled in an MS/PhD degree (those graduating by May 2026 are preferred) and recent graduates who graduated within the 12-month period prior to the start of the internship.
  • Majors in computer science, machine learning, statistics or a related quantitative field preferred.
  • Expertise in one of the following areas: Deep Learning/GenAI, NLP/NLU, Computer Vision, Recommendation Systems, Music Information Retrieval, Statistics, and other related areas
  • Excellent communication skills with both technical and non-technical audiences.
  • Publications at machine learning conferences/journals.
  • Proficiency with Python, Java, or Scala.
  • Familiarity with common machine learning libraries (e.g., sk-learn, TensorFlow, PyTorch).
  • Experience with SQL (or proprietary equivalent).
  • Must have legal right to work in the U.S.

Responsibilities

  • Research and develop machine learning systems in your area of expertise in collaboration with your mentor
  • Design and analyze experiments to validate scientific hypotheses
  • Present your findings to appropriate audiences
  • Perform other duties as required.

FAQs

What type of internship is being offered?

The internship is for a Summer Intern, Scientist position at SiriusXM.

Who can apply for this internship?

The internship is open to current students enrolled in an MS/PhD degree (preferably those graduating by May 2026) and recent graduates who graduated within the 12-month period prior to the start of the internship.

What qualifications are preferred for applicants?

Preferred qualifications include majors in computer science, machine learning, statistics, or a related quantitative field, along with expertise in areas like Deep Learning/GenAI, NLP/NLU, Computer Vision, and Recommendation Systems.

What skills are necessary for this role?

Necessary skills include proficiency with Python, Java, or Scala, familiarity with machine learning libraries (e.g., sk-learn, TensorFlow, PyTorch), and experience with SQL or its proprietary equivalents.

What will the intern be doing?

The intern will conduct research, develop machine learning systems, design and analyze experiments, present findings, and perform other related duties.

What kind of projects will the intern work on?

The intern will work on projects that have a positive impact on hundreds of millions of SiriusXM and Pandora listeners, collaborating with applied research scientists in various fields.

Is there a requirement for publications in this field?

Yes, having publications at machine learning conferences or journals is preferred.

What is the expected hourly wage for this internship?

The expected base salary for this position is $55 per hour, which may vary based on skills, qualifications, and experience.

Does SiriusXM offer any additional incentives for this role?

Yes, this role might be eligible for discretionary short-term and long-term incentives.

Is the company an equal opportunity employer?

Yes, SiriusXM is an equal opportunity employer that does not discriminate on various protected characteristics.

Shape the future of audio.

Entertainment & Media
Industry
1001-5000
Employees
1990
Founded Year

Mission & Purpose

SiriusXM and its brands (Pandora, SXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are. This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM’s vision to life every day.

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