Machine Learning Tools Engineer, Global Siri

Apple; Barcelona; Presencial; EUR 40.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Inclusive company culture

Career development opportunities

Health and wellness benefits

Descripción de la vacante

Apple is seeking a Machine Learning Tools Engineer for their Siri team in Barcelona. The role involves designing and deploying machine learning systems to enhance Siri's capabilities. Candidates should have proven experience in machine learning-based software, proficiency in languages like Python or Swift, and excellent communication skills. The position promotes collaboration across teams and values diverse perspectives. Join Apple to help build innovative products that enrich lives and advocate for inclusivity.

Formación

• Proven experience developing and shipping industry-scale machine learning software systems.
• Expertise in LLMs or foundation models demonstrated through publications.
• Proficiency in at least one object-oriented language.

Responsabilidades

• Design, build, and deploy machine learning systems to improve Global Siri.
• Enhance the accuracy and capability of Siri’s models and systems.
• Communicate complex technical ideas effectively across teams.

Conocimientos

Machine Learning

Software Engineering

Problem Solving

Critical Thinking

Educación

Master’s or PhD in computer science, software engineering, machine learning

Herramientas

TensorFlow

PyTorch

Swift

Descripción del empleo

Summary

Join 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. Work on building and advancing the world’s most popular intelligent assistant that helps millions of people get things done — just by asking! Global 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.

Description

We 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. It is important to be able to dive into the latest academic/research advancement in ML, LLMs and NLP. 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.

Minimum Qualifications

• Proven experience developing, shipping, and measuring industry‐scale machine learning‐based software systems; experience working on large‐scale LLM or NLU systems.
• Expertise and experience in LLMs or other foundation models, ideally demonstrated through publications or shipping tools, foundation model‐based features, and products.
• Excellent software engineering skills: Proficiency in at least one object‐oriented language (e.g. Java, C++, Objective‐C, or Swift), scripting languages (e.g. Python, Ruby, bash), and deep learning/machine learning frameworks (e.g. TensorFlow, PyTorch, or CoreML)
• Outstanding problem solving, critical thinking, creativity, organizational, design, and interpersonal skills; ability to work with all levels of engineers, scientists, designers, and communicate effectively with management, leadership, and cross‐functional partners.

Preferred Qualifications

• Experience 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.g. Swift, Objective‐C, CoreML, or SiriKit).
• Experience in localization, internationalization, machine translation, or language technologies is a great plus.
• 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.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Role Number: 200618635-0215