Full-Time
Network Engineer
Engineering R&D Environments
Meta
10,001+ employees
Global social networks and advertising platform
No salary listed
Company Historically Provides H1B Sponsorship
Menlo Park, CA, USA
In Person
 DevOps & Infrastructure (1) |
|---|
Get referred to Meta
See people who can refer or advise you
- Build and scale the network infrastructure supporting Meta's global engineering labs.
- Perform network design, deployment, and operations for Meta's global engineering labs.
- Support multiple engineering teams.
- Work directly with engineering teams that are maturing new hardware and software on the path to production.
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
Get referred to Meta
See people who can refer or advise you
Simplify's Take
What believers are saying
- Q2 2026 revenue hit $60.8 billion, with ads up 27% year over year.
- WhatsApp paid messaging and subscriptions passed $1 billion quarterly in Q2 2026.
- Meta's AI glasses revenue grew in Q2 2026, offsetting weaker Quest headset sales.
What critics are saying
- FTC appealed Meta's monopolization victory on January 20, 2026, keeping breakup risk alive.
- EU regulators still probe Meta's WhatsApp AI policy after the June 2026 DMA ruling.
- Texas Attorney General Ken Paxton opened a May 2026 privacy investigation into Meta glasses.
What makes Meta unique
- WhatsApp, Instagram, and Facebook create unmatched cross-app reach for advertisers.
- Ray-Ban Meta glasses shipped with Muse Spark in July 2026, fusing vision and AI.
- WhatsApp Scam Alert uses on-device AI, preserving end-to-end encryption while fighting fraud.
Help us improve and share your feedback! Did you find this helpful?
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
↑ 0%Synthefy has raised $6.5 million in seed funding led by Wing Venture Capital, with participation from Haystack, Samsung Next, Canonical Crypto and Lightscape. The startup is developing Structured Data Foundation Models that learn from numerical data rather than text, similar to how large language models process words. The company recently released Nori, an open-source model with 30 million parameters that outperformed Google's 1.6-billion parameter TabFM model in testing. Synthefy says its models can tackle tasks like fraud detection and dynamic pricing more efficiently than traditional machine learning frameworks. The platform allows companies to deploy models without extensive data preparation or training. Nori has been downloaded more than 600,000 times since its quiet release weeks ago. The funding will support research efforts, engineering hires and development of the next generation of Nori.
Alphabet and Meta Platforms dominate digital advertising, each leveraging artificial intelligence to optimise their ad platforms. Both are trillion-dollar companies in the Magnificent Seven group that comprises over a third of the S&P 500. In the second quarter, Alphabet generated $81.63 billion from advertising, representing 69% of total revenue. Meta brought in $59.36 billion from ads, accounting for nearly 98% of revenue. Alphabet holds commanding market positions with its Chrome browser (68% global share) and Google search engine (91% share). The company uses its Gemini AI model to improve ad targeting and monetise longer searches. Its AI Max tool in Google Ads adjusts keyword matches and ad copy. Google's advertising revenue grew 14% year-over-year to $81.629 billion. YouTube ads reached $11.055 billion, whilst Google Search generated $63.271 billion.
Meta Platforms and Tesla, both Magnificent Seven stocks, are recovering from oversold levels based on their relative strength index (RSI) readings, potentially offering value opportunities for investors. Meta's RSI improved to 48 from 31 on 30 July, though shares have fallen roughly 10% since mid-July. The company reported second-quarter revenue of $60.8 billion, marking a 28% year-over-year increase and beating analyst expectations of $60.22 billion. However, Meta posted its first earnings per share miss in 15 quarters. Despite recent struggles, analysts maintain a moderate buy rating with approximately 32% upside potential. Tesla missed second-quarter earnings estimates for the fifth time in nine quarters and trades at a forward price-to-earnings ratio of 384. Analysts still see roughly 18% upside for the stock.
Tech stocks rose in pre-market trading Monday, with the Nasdaq up 0.27%. Anthropic's preliminary quarterly revenue surged 14-fold to $11.5 billion from $787 million a year earlier, according to Bloomberg. The AI lab is preparing for a public offering in September or October, with investors targeting a $2 trillion valuation, the Financial Times reports. Meanwhile, Meta faces a trial beginning Tuesday in Oakland, California. A group of 29 state attorneys general are suing the social media company, alleging it deliberately designed its services to maximise children's screen time and caused psychological harm.
Alibaba launched Qwen3.8-27B, an AI model designed to run on consumer hardware like laptops, and released the weights for its most powerful model, Qwen3.8 Max. The move intensifies competition with Meta in the open-weight AI market. The announcement follows Meta's plans last week to open-source its most powerful AI model and introduce laptop-compatible versions. However, Alibaba maintains a significant lead: Qwen-based models account for 151,448 derivatives on Hugging Face, 2.6 times Meta's footprint. Alibaba said Qwen3.8-27B matches the performance of models ten times its size in coding, research, and professional tasks. Industry experts view on-device AI as the next battleground, offering faster performance and enhanced security compared to data centre-based models. "Alibaba has made Qwen the most credible non-US model family," said Nick Patience, AI lead at Futurum Group.