Job Description

Locations

• Barcelona, Barcelona, Spain 8193

Salary

Skills Required

• collaborating across teamsintermediate
• software engineeringintermediate
• researchintermediate
• leadership potentialintermediate
• building scalable LLM-powered solutionsintermediate
• machine learning lifecycle managementintermediate
• data generation methodsintermediate
• model trainingintermediate
• model evaluationintermediate
• system designintermediate
• diving into academic/research advancements in MLintermediate
• diving into academic/research advancements in LLMsintermediate
• diving into academic/research advancements in NLPintermediate
• communicating complex technical ideasintermediate

Required Qualifications

• Proven experience developing, shipping, and measuring industry-scale machine learning-based software systems; experience working on large-scale LLM or NLU systems. (experience)
• Expertise and experience in LLMs or other foundation models, ideally demonstrated through publications or shipping tools, foundation model-based features, and products. (experience)
• 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) (experience)
• 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 (experience)

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 (experience)
• Self-starter with the ability to balance multiple projects (experience)
• Experience in the iOS development ecosystem (e.g. Swift, Objective-C, CoreML, or SiriKit) (experience)
• Experience in localization, internationalization, machine translation, or language technologies is a great plus (experience)
• 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 (experience)

Responsibilities

• 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.

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