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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Leadership, Machine Learning RecSys - **Company:** The Meta Game, Inc. - **Location:** Redmond, WA, United States - **Experience:** Experienced - **Salary:** $219,000.0 - $301,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), PHP (Programming Language), Artificial Intelligence, Software Applications, Architectural Patterns, C++ (Programming Language), Computer Engineering, Software Debugging, Perl (Programming Language), Python (Programming Language), Machine Learning, Recommender Systems, Shell Script, Software Engineering, Web Applications, Scripting, Pytorch, Large Language Models, Information Technology, GPT - **Published:** July 29, 2026 - **Apply:** https://dejobs.org/x/x/40C28A8B2F0B4587898DFF33A93C5B66/job/ ## About the Role 2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 3. 4+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhD 4. 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field 5. Experience with developing machine learning models at scale from inception to business impact 6. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts 7. Experience with scripting languages such as Python, Javascript or Hack 8. Experience leading major initiatives successfully, Proven ability to set technical direction and influence product strategy 9. Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale) 10. Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments 11. Experience building and shipping high quality work and achieving high reliability 12. Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions 13. Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects Preferred Qualifications: Preferred Qualifications: 14. Masters degree or PhD in Computer Science or a related technical field 15. Exposure to architectural patterns of large scale software applications 16. Experience with scripting languages such as Pytorch and TF 17. Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies ## Description Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply. ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [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) - [JavaScript? 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