Machine Learning Tools Engineer, Global Siri

Apple; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading technology company in Paris is looking for a Machine Learning Tools Engineer. You will be involved in designing and deploying machine learning systems for Siri, improving their accuracy and capabilities. Ideal candidates should have expertise in software engineering, strong problem-solving skills, and a relevant degree. Experience in LLMs is a plus. This role offers a collaborative environment with opportunities to work across teams.

Qualifications

• Proven experience in developing large-scale machine learning software systems.
• Expertise in LLMs or other foundation models supported by relevant experience.
• Experience in iOS development ecosystem, localization, and language technologies.

Responsabilités

• Design, build, and deploy machine learning systems for Siri.
• Collaborate across teams for building ML-powered solutions.
• Communicate technical ideas effectively to diverse audiences.

Connaissances

Machine Learning lifecycle management

Full-stack development

Strong software engineering

Problem-solving skills

Communication skills

Data science and analytics

Formation

Masters or PhD in computer science or related field

Outils

TensorFlow

PyTorch

CoreML

Python

Java

Description du poste

Overview

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 will 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 who are 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 advancements in ML, LLMs and NLP. Also must be able to communicate complex technical ideas to diverse audiences including research scientists, data scientists, engineers, designers, managers and other partners across Siri and Apple.

Responsibilities

• 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.
• 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.
• Masters 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.

Qualifications

• Educational background and experience aligned with the needs of ML tools engineering roles as described above.