> Markdown version of [/jobs/ext/2307655-research-scientist-machine-learning](https://www.wearedevelopers.com/jobs/ext/2307655-research-scientist-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Research Scientist, Machine Learning

- **Company:** The Meta Game, Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $122,000.0 - $181,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, C++ (Programming Language), Computer Engineering, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Software Engineering, Software Technical Review, Reinforcement Learning, Data Logging, Pytorch, Large Language Models, Deep Learning, Information Technology, Free and Open-Source Software, Machine Learning Operations
- **Published:** August 30, 2026
- **Apply:** https://dejobs.org/x/x/CDD9E0E04E384FDB9D29CBDADC2D48B8/job/

## About the Role

10. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
 11. Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
 12. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
 13. 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
 14. 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
 15. Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations, 16. Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
 17. Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
 18. Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
 19. Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences

## Description

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta., 1. Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures

 2. Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
 3. Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
 4. Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
 5. Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
 6. Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
 7. Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
 8. Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
 9. Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers


## Related Videos

- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain)
- [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)