> Markdown version of [/jobs/ext/2882746-sr-machine-learning-engineer-ml-systems-evaluation-engineering](https://www.wearedevelopers.com/jobs/ext/2882746-sr-machine-learning-engineer-ml-systems-evaluation-engineering). 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). --- # Sr. Machine Learning Engineer, ML Systems Evaluation Engineering - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Systems Engineering, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Chatbots, Large Language Models, Information Technology, Machine Learning Operations - **Published:** September 13, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3388783816&tx=IT878TYI&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 * 7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products. * Proven experience managing large-scale datasets for ML training and/or evaluation. * Excellent programming skills in Python * MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field, * The qualifications that will benefit a candidate to be successful in your role. Please list no more than 6-8. * Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle. * Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems. * Track record of delivering large-scale, cross-functional ML product or platform outcomes. * Excellent problem-solving, critical thinking, and communication skills to drive alignment across teams. * Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components ## Description We are seeking a highly skilled Senior Machine Learning Engineer specializing in Conversational AI. Our goal is to deliver offline evaluation insights that drive model development and improve the end-user experience, all while upholding Apple's strict privacy standards. In this pivotal role, you will collaborate with cross-functional teams to curate and evolve high-quality evaluation datasets for state-of-the-art models. With the advent of Apple Intelligence, you will tackle novel challenges in evaluating highly personalized user experiences. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) ## 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 – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [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)