Internship

Research Scientist Intern

Smart Glasses in Wearables AI, PhD

Confirmed live in the last 24 hours

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$45 - $65.15Hourly

Company Historically Provides H1B Sponsorship

Burlingame, CA, USA + 5 more

More locations: Washington, DC, USA | Redmond, WA, USA | Menlo Park, CA, USA | New York, NY, USA | Sunnyvale, CA, USA

Preference for candidates who live in or expect to work from California.

Category
Deep Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Machine Learning
Java
Natural Language Processing (NLP)
C/C++
Computer Vision

You match the following Meta's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Multi-modal Systems, Computer Vision, Natural Language Processing, Speech Recognition, Audio Processing, Conversational AI, or other relevant technical field.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Experience with Python, C++, C, Java or other related languages.
  • Experience building systems with deep learning frameworks such as Pytorch or Tensorflow.
Responsibilities
  • Perform research to advance the science and technology of intelligent machines.
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Publish research results and contribute to research that can be applied to Meta product development.
Desired Qualifications
  • A strong interest in theoretical and empirical research and for answering difficult questions with research.
  • Experience in at least one ML/AI area such as Natural Language Processing (Translation, Summarization, Dialog, NER, etc), Speech and Audio Understanding (Recognition, Synthesis, Signal Processing), Computer Vision (Image or Video Analysis), Multi-modal (image, video, audio, text, etc) Reasoning & Retrieval, Reinforcement Learning, Search and Recommendations.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ACL, NAACL, EACL, NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ICASSP, or similar.
  • Ability to stay in touch with the literature of a particular domain and ability to quickly reproduce results, if needed.
  • Demonstrated software engineering experience via a previous internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience with the utilization of enterprise level AI, Machine Learning, and Deep Learning/ LLM platforms involving big data management and GPU compute.
  • Experience working and communicating cross-functionally in a team environment.

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.2B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

8%

1 year growth

10%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's collaboration with Oakley expands its reach into the wearable tech market.
  • Development of a new high-end Quest headset enhances Meta's VR market position.
  • Investment in Databricks supports Meta's AI capabilities with the Llama model.

What critics are saying

  • EU scrutiny of Meta's ad-free service could lead to legal challenges.
  • Rise of AI competitors like DeepSeek threatens Meta's AI market position.
  • Consumer adoption challenges may affect Meta's new high-end Quest headset.

What makes Meta unique

  • Meta's platforms like Facebook, Instagram, and WhatsApp dominate global social media engagement.
  • Meta's Oculus division leads in virtual reality hardware and experiences.
  • Meta's data-driven advertising tools offer unmatched audience targeting capabilities.

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Benefits

Stock Options

Company Equity

Mental Health Support

Flexible Work Hours