> Markdown version of [/jobs/ext/1752160-staff-sr-machine-learning-engineer-ai-search-knowledge-platforms](https://www.wearedevelopers.com/jobs/ext/1752160-staff-sr-machine-learning-engineer-ai-search-knowledge-platforms). 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). --- # Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms - **Company:** Apple Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Big Data, Data Structures, Data Systems, Distributed Systems, Information Extraction, Python (Programming Language), Machine Learning, Scala (Programming Language), Software Engineering, Feature Engineering, Large Language Models, Apache Spark, Containerization, Kubernetes, Information Technology, Cassandra, Machine Learning Operations, TensorRT, Docker, Golang, Microservices - **Published:** July 16, 2026 - **Apply:** https://www.sanfranciscogigs.com/job.asp?id=3322600406&tx=UT545TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree or higher in Computer Science or related technical field * 3+ years of experience in software engineering or ML engineering * Experience with Golang, Java, Scala, or Python * Background in computer science: algorithms, data structures, and distributed systems * Experience working in a cloud-native environment such as AWS * Experience working with large-scale data processing pipelines (Spark, Cassandra, etc.) * Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.) * Experience with machine learning workflows, including feature engineering, training, evaluation, deployment and serving, * Experience with training and fine-tuning large language models * Experience with optimizing ML training and serving performance, including GPU tuning, batch size optimization, and multi-node scheduling * Familiarity with Nvidia TensorRT-LLM, vLLM, Nvidia Triton Server, or similar inference frameworks. * Experience with NLP, information extraction, or web data systems. * Excellent interpersonal skills, able to work independently as well as in a team ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)