> Markdown version of [/jobs/ext/3784835-machine-learning-researchers-and-engineers](https://www.wearedevelopers.com/jobs/ext/3784835-machine-learning-researchers-and-engineers). 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 researchers and engineers

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** App Store (IOS), Big Data, Cloud Computing, Data Systems, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Reinforcement Learning, Pytorch, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Indexer, Backend, Agentic-AI, Kubernetes, Information Technology, Data Analytics, TensorRT, Natural Language Understanding
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200671378

## About the Role

We are looking for extraordinary and motivated machine learning researchers and engineers to join us in our journey.
As a Senior/Staff Machine Learning Research on the ASE Search team, you will lead the design and development of next-generation search and conversational discovery features for Apple's ground breaking devices and platforms. **Minimum Qualifications** + 3+ years of relevant industry experience building large-scale ML & data systems + Familiarity with search or recommendation systems, conversational engines, or related domains + Strong knowledge of generative AI systems including Large Language Models, Transformers, Reinforcement Learning, RAG, and agentic patterns such as ReAct, Chain-of-Thought, Tool Use, and Multi-Agent orchestration + Experience with one or more distributed ML training frameworks such as PyTorch, TensorFlow, Ray, or JAX, and inference engines like TensorRT or vLLM + Technical leader with exceptional communication skills and a track record of solving complex, ambiguous problems in a highly collaborative environment **Preferred Qualifications** + MS or
Ph.D. in Computer Science or related subject area + Proven ability to build & scale Search & Conversational systems, applying 7+ years of hand-on experience across the full product stack - including query understanding, semantic retrieval, multi-stage ranking, indexing, intent classification, and context-aware generation. + Deep expertise in Search & Conversational systems, bringing in 7+ years of hands-on experience building capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, intent resolution, and context-aware generation across multiple domains. + Proficient in developing robust big data pipelines in Scala or Python using distributed processing frameworks like Apache Spark. + Familiarity with scalable, reliable distributed backend services including Kubernetes, cloud infrastructure, and container orchestration + Familiarity with A/B experimentation and data-driven product development Apple is an equal opportunity employer