Software Engineer - Video ML Foundations team

**Summary:** The Video ML Foundations team optimizes video ranking infrastructure to balance latency, cost, and freshness for an optimal user experience. We drive diverse initiatives, including co-designing ranking models and systems, accelerating model training, optimizing GPU inference, and building funnel infrastructure and elastic compute. We are looking for candidates with an infrastructure background eager to apply systems and optimization methodologies to ranking systems. Our core focus is advancing state-of-the-art AI, ML, and RecSys technologies—spanning ranking, retrieval, model architecture, and optimization—to achieve long-term product goals. **Required Skills:** Software Engineer - Video ML Foundations team Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and optimization techniques 2. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, kernels, and resource-efficient AI, to drive performance improvements and efficiency gains 3. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of supervised learning, generative techniques, sampling, reinforcement learning, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5. Research experience in machine learning, deep learning, natural language processing, and/or recommender systems 6. Experience with developing machine learning models at scale from inception to business impact 7. Programming experience in Python and hands-on experience with frameworks such as PyTorch 8. Experience with architectural patterns of large-scale software applications **Preferred Qualifications:** Preferred Qualifications: 9. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI) 10. PhD in AI, Computer Science, Data Science, or related technical fields 11. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 12. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 13. Direct experience in generative AI, LLMs, RecSys, ML research 14. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 15. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $183,997/year to $257,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.