Winter 2025
Research Scientist Intern
Smart Glasses in Wearables AI, PhD
Posted on 11/15/2025
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$44.13 - $70.00/hr
Company Historically Provides H1B Sponsorship
Burlingame, CA, USA + 3 more
More locations: Redmond, WA, USA | Menlo Park, CA, USA | New York, NY, USA
In Person
 AI & Machine Learning (2) |
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- Currently pursuing or 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
- Perform research to advance the science and technology of intelligent machines
- Develop novel and accurate natural language processing 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
- 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. runs a family of social apps including Facebook, Instagram, and WhatsApp to help people connect, share content, and participate in online communities. It also develops virtual reality hardware and experiences through Oculus and is exploring the metaverse. Most revenue comes from advertising, with tools that let businesses target audiences using data from its large user base, plus VR product sales and digital services. The company differentiates itself by owning multiple major social platforms, offering a scalable cross-platform ad platform, and investing in VR, AR, and AI to expand digital experiences and monetization opportunities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2004
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Simplify's Take
What believers are saying
- Meta reported Q2 2026 revenue of $60.8 billion, with advertising up 27% year over year.
- Threads ads reached global rollout in 2026, while WhatsApp Status ads expand worldwide.
- Muse and Meta AI broaden monetization beyond ads, with 1.2 billion monthly Meta AI users.
What critics are saying
- California's September 2026 youth laws target addictive feeds, threatening Meta's engagement algorithms and ad inventory.
- Meta agreed in August 2026 to pay up to $18 billion over child-safety claims.
- AI spending is ballooning; JPMorgan sees $243 billion capex in 2027, squeezing returns and retention.
What makes Meta unique
- Meta controls Facebook, Instagram, WhatsApp, and Threads, reaching 3.56 billion daily people in Q1 2026.
- Advantage+ delivered $75 billion annualized revenue in 2026, automating ad buying better than manual campaigns.
- WhatsApp and Messenger now host Meta Business Agent, serving over 1 million businesses weekly.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 7%1 year growth
↑ 7%2 year growth
↑ 1%Bernstein analysts predict Meta Platforms will overtake Alphabet's Google Search in advertising revenue by the end of 2026. The firm suggests Meta may have already matched Google Search revenue on a like-for-like basis, excluding other Google ad streams such as Maps and Gmail. Meta captured about half of all new digital advertising spending in Q2 2026. Its Advantage+ automated ad-buying software generated over $75 billion in annualised revenue, with campaigns delivering $4.52 for every dollar spent, 22% more than manual campaigns. The company plans to fully automate ad creation and targeting by end-2026, supported by estimated capital expenditure of $130 billion to $145 billion for the year. Barclays projects WhatsApp could generate up to $6 billion in incremental ad revenue in 2026, whilst Threads could reach $19 billion in 2027.
Meta Platforms' stock rose approximately 1.3% to $652.47 despite California Governor Gavin Newsom signing 13 bills targeting social media and artificial intelligence on Friday. The new rules restrict platforms from showing users under 16 potentially addictive features such as infinite scrolling and algorithmic autoplay. Chatbot providers face tighter parental-control and safety-review obligations. Negligent large platforms could face penalties of up to $1 million for each child harmed. While the maximum individual fine equals roughly 0.0016% of Meta's latest quarterly revenue of $60.8 billion, thousands of claims could significantly impact the company. The greater risk lies in potential forced redesigns of Meta's recommendation engine, which drives engagement, advertising inventory and personalisation.
AppLovin and Meta Platforms represent contrasting approaches to digital advertising. AppLovin provides AI-powered technology helping mobile apps find and monetise users, whilst Meta connects billions through social networks. In FY 2025, AppLovin's revenue reached nearly $5.5 billion, up 70% year-over-year, with net income of approximately $3.3 billion and a 60.8% net margin. Free cash flow hit $3.9 billion. Meta reported FY 2025 revenue of close to $201 billion, growing roughly 22.2% annually, with net income of approximately $60.5 billion. Its net margin stood at 30.1%, whilst free cash flow reached $46.1 billion. AppLovin faces competition from Apple and Google, plus ongoing federal securities litigation. Meta contends with privacy regulations and heavy AI infrastructure spending. Despite AppLovin's impressive margins, Meta's massive user base of 3.5 billion daily users provides a stronger long-term foundation for investors.
Meta has launched Muse, a personal AI shopping agent that uses years of social media activity to understand consumer tastes, search for products, navigate checkout, and prepare purchases for approval. The tool joins similar offerings from Amazon, Google, Walmart, Disney, Uber, and OpenAI. However, consumer appetite for AI-powered shopping remains limited. Only 31% of respondents in a Vogue Business survey said they would outsource shopping to an AI agent. Just 24% trusted AI chatbot recommendations, whilst 72% would not share card details with such systems. Muse's rollout follows Meta's $14.3 billion investment for a 49% stake in Scale AI, part of chief executive Mark Zuckerberg's push to compete in the AI race. The company says users control which apps Muse accesses and can opt out of data training, though Meta faces ongoing privacy concerns.
JPMorgan has upgraded Meta Platforms to Overweight from Neutral, raising its price target to $820 from $640. The upgrade follows Meta's release of its Muse AI agent and frontier models, which analyst Doug Anmuth believes open growth opportunities beyond advertising. Anmuth cited Meta's Superintelligence Lab for reaching the AI frontier within a year, noting that the Muse Spark 1.3 model now competes with OpenAI and Anthropic. The Muse AI agent reached number three in the US App Store on its second day, with usage running at roughly ten times that of internal training cohorts. However, the expansion comes at significant cost. JPMorgan projects Meta's capital expenditures at $243 billion in 2027 and $284 billion in 2028, both above Wall Street consensus.