> Markdown version of [/jobs/ext/2213085-machine-learning-researcher-engineer](https://www.wearedevelopers.com/jobs/ext/2213085-machine-learning-researcher-engineer). 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 Researcher/Engineer - **Company:** Apple Inc. - **Location:** Washington, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Big Data, Cloud Computing, Data Systems, Distributed Computing Environment, Python (Programming Language), Recommender Systems, Tensorflow, Pytorch, Large Language Models, Apache Spark, Generative AI, Indexer, Backend, Kubernetes, Information Technology, Data Analytics, TensorRT, Golang - **Published:** August 24, 2026 - **Apply:** https://www.dice.com/job-detail/cddb83d6-66ed-4a9c-8645-1015491aa45b ## About the Role MS in Computer Science or a 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 distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus. Familiarity with search, recommendation systems, conversational engines, or related domains. Strong communication skills and the ability to work effectively in a collaborative team environment. Preferred Qualifications Ph.D. in Computer Science or a related subject area. 4+ years of relevant industry experience in ML or data systems. Experience building search or conversational capabilities such as query understanding, retrieval, ranking, indexing, autocomplete, or intent resolution. Familiarity with big data pipelines using Scala, Python, or Apache Spark. Exposure to distributed backend services, Kubernetes, cloud infrastructure, or container orchestration. Experience with GoLang or gRPC services. Familiarity with A/B experimentation and data-driven product development. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)