Full-Time
AI Research Scientist
Coreml, Monetization AI
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$147k - $208k/yr
Company Historically Provides H1B Sponsorship
Menlo Park, CA, USA + 3 more
More locations: New York, NY, USA | Bellevue, WA, USA | Sunnyvale, CA, USA
In Person
 AI & Machine Learning (2) |
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- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field
- Experience holding an industry, faculty, or government researcher position
- Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas
- Publications in machine learning, artificial intelligence, or related field
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
- Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
- Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding
- Design and implement generative modeling solutions for data augmentation
- Research and develop graph-aware large language models
- Develop and deploy AutoML pipelines
- Apply Reinforcement Learning techniques, including long-term value optimization, RLHF, and RL4Reason
- Use causal learning to identify and understand the cause and effect of relationships across data
- Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
- Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
- Experience taking ideas from research to production
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
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
Simplify's Take
What believers are saying
- Q1 2026 revenue surged 33% to $56.3B from AI-driven ad placement improvements.
- $1B Beaver Dam data center approved with 220MW power for 10 years from 2027.
- Stock trades at 19x forward earnings discount to S&P 500 after 20% dip.
What critics are saying
- UK Ofcom imposes $20B fines under Online Safety Act using 10% global revenue.
- Publishers win Llama AI lawsuit, forcing $1B+ damages by mid-2028.
- TikTok erodes Instagram engagement, slashing ad growth to single digits by May 2027.
What makes Meta unique
- Meta integrates AI on Threads for real-time trend queries like World Cup discussions.
- Meta deploys AI to detect underage users via height and bone structure analysis.
- Meta owns Facebook, Instagram, WhatsApp with 97.8% ad revenue in 2023.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Company News
Opposition to data centres has become a significant issue ahead of the US midterm elections, with voters unseating local politicians who support them. Residents cite concerns over water pollution, noise, power demands and environmental degradation. In Missouri, four city council members lost their seats over supporting a $6 billion data centre. Similar ousters occurred in Independence, Missouri, and rural North Carolina. The backlash crosses party lines, prompting state legislatures nationwide to consider bills ranging from eliminating tax incentives to construction moratoriums. Despite generating substantial tax revenue and construction jobs, communities increasingly resist these developments. Virginia, which has the most data centres, is considering eliminating sales tax exemptions worth $1.9 billion. President Trump has acknowledged affordability concerns whilst supporting development, though his proposals lack enforcement mechanisms.
Meta is raising prices for its Quest VR headsets by $50–$100 (12–20%) from 19 April, citing a global surge in memory chip prices affecting consumer electronics. However, Meta's own spending priorities have contributed to this component shortage. The company plans to spend $115–$135 billion on capital expenditures this year, up from $72 billion in 2025 and $28 billion in 2023, with most investment directed towards AI infrastructure. This includes $21 billion for data centre company CoreWeave and $10 billion for an El Paso data centre. Meta's AI spending forms part of $630 billion in industry-wide AI infrastructure investment pledged for 2026, driving up prices for RAM and GPUs. Meanwhile, Meta is reportedly planning spending cuts of up to 30% for its metaverse division, which has accumulated $73 billion in losses.
Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.
Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.
Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.