SummaryJoin the Siri team at Apple Build and contribute to a team and company that is building products, personal devices, and software designed to enrich people's lives. General Siri works to take Siri to the next level of intelligence and capabilities in all languages and markets. We build machine learning models, systems, and software that understand the intents of hundreds of millions of users and their billions of requests to Siri on Apple. On the Global Scaling, Data, and Tools team, we work on ML modeling and algorithms, data platforms and technologies and end-to-end ML product engineering to surprise and delight customers around the world in the languages that they speak.
DescriptionWe are looking for a Machine Learning Tools Engineer who is passionate about collaborating across teams in Siri and Apple. Expect to design, build, and deploy extraordinary machine learning systems that help Siri best serve the needs of our users. You'll create and improve the accuracy and capability of Global Siri's models and systems. We are interested in "full?stack" machine learning engineers with strong experience in software engineering, research, and leadership potential. Are you passionate about building outstanding products at the intersection of Machine Learning and Software Engineering? The ideal candidate has expertise in building scalable LLM?powered solutions, machine learning lifecycle management, data generation methods, model training, and evaluation.



As well as possessing strong fundamentals and a passion for software engineering and system design. As well as the ability to communicate complex technical ideas to diverse audiences, including research scientists, data scientists, engineers, designers, managers, and other partners across Siri and Apple.scale machine learning?based software systems; Excellent software engineering

skills:
Java, C++, Objective?C, or Swift), scripting languages (e.
Python, Ruby, bash), and deep learning/machine learning frameworks (e.
TensorFlow, PyTorch, or CoreML)Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; Preferred QualificationsExperience in data science and analytics, including data annotation, statistical analyses, A/B testing, and/or conducting experiments and investigations in large?scale usage data environments.
Self?starter with the ability to balance multiple projects.
Experience in the iOS development ecosystem (e.
Swift, Objective?C, CoreML, or SiriKit). Master's or PhD degree in computer science, software engineering, machine learning, language technologies, or related fields; outstanding candidates with Bachelor's degrees or equivalent experience and multiple years of significant engineering/product experience will also be considered.
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📌 Machine Learning Tools Engineer, Global Siri (España)
🏢 Apple
📍 España