> Markdown version of [/jobs/ext/3780937-machine-learning-research-engineer-app-store-search](https://www.wearedevelopers.com/jobs/ext/3780937-machine-learning-research-engineer-app-store-search). 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). --- # Machine Learning Research Engineer, App Store Search - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** App Store (IOS), Big Data, Cloud Computing, Data Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Generative AI, Indexer, Backend, Kubernetes, Information Technology, Golang - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_apple2-200671370 ## About the Role As an ML Research Engineer on the ASE Search team, you will contribute to the design and development of next-generation search and conversational discovery features for Apple's groundbreaking devices and platforms. **Minimum Qualifications** + MS or Ph.D. in Computer Science or related subject area + 2+ years of relevant industry experience in ML or data systems + Knowledge of generative AI systems including Large Language Models, Transformers, and techniques such as RAG and fine-tuning + Experience with one or more ML frameworks such as PyTorch or TensorFlow + Familiarity with search, recommendation systems, conversational engines, or related domains + Strong communication skills and ability to work effectively in a collaborative team environment **Preferred Qualifications** + MS or Ph.D. in Computer Science or related subject area + 4+ years of relevant industry experience in ML or data systems + Experience in building search or conversational capabilities like query understanding, retrieval, ranking, or indexing + Familiarity with big data pipelines using Scala, Python, or Apache Spark + Exposure to distributed backend services, Kubernetes, or cloud infrastructure + Experience with GoLang or gRPC services + Familiarity with A/B experimentation and data-driven product development Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. ## Description We are looking for motivated machine learning engineers and researchers to join us in our journey.