Search Engine Algorithm Engineer – Image & Video Search (LLM & Search API Applications) Overview Are you interested in solving large‑scale search problems and building next‑generation image and video search experiences powered by machine learning and large language models (LLMs)? The Bing Multimedia Group builds global image and video search feeds and content discovery experiences across Bing, Windows, Edge, MSN, and Azure. Our systems serve users in 100+ markets worldwide, handling billions of queries and content interactions every day. We are hiring Search Engine Algorithm Engineers to work on image and video retrieval, ranking, relevance optimization, and LLM‑powered search APIs and applications, driving real user impact in production systems at global scale.   Team & Scope The Image & Video Search team focuses on building end‑to‑end search engine systems, including: • Large‑scale retrieval and recall pipelines • Multi‑stage ranking architectures • Query, user, and content understanding • Exploration and relevance optimization • Search APIs and LLM‑powered applications that enable developers and partners to build intelligent search experiences on top of Bing multimedia data You will work closely with applied scientists, engineers, researchers, and product partners across Beijing, Suzhou, the US, Canada, and Europe, in a highly collaborative and flexible work environment.   Responsibilities • Design, develop, and improve large‑scale image and video search algorithms, with a focus on retrieval, recall, ranking, and relevance optimization • Build and operate multi‑stage search pipelines that power production image and video search experiences • Develop LLM‑powered search APIs and applications, integrating large language models with search, retrieval, and ranking systems to enable new developer and user experiences • Apply machine learning, deep learning, multimodal models, and LLM techniques to improve search quality, engagement, and long‑term product growth • Own the end‑to‑end machine learning lifecycle: ◦ Problem formulation and metric definition ◦ Offline training, evaluation, and optimization ◦ Online experimentation (A/B testing) ◦ Production deployment and monitoring • Build billion‑scale, low‑latency ML systems integrated into Bing and Windows search runtimes • Collaborate with researchers and partner teams to explore and productionize state‑of‑the‑art techniques for image, video, and LLM‑driven search scenarios   Qualifications • Proven track record of impact in search engines or recommendation systems • Strong understanding of search engine fundamentals, including: ◦ Query, user, and content understanding ◦ Retrieval / recall architectures ◦ Ranking and relevance optimization • Experience building production machine learning systems, from data modeling to online deployment • Hands‑on experience in one or more of the following areas: ◦ Information retrieval ◦ Recommendation systems ◦ Computer vision or video understanding ◦ Deep learning, NLP, or multimodal learning • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) • Strong communication and collaboration skills in cross‑functional, global teams • MS or PhD in Computer Science or a related field •