AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)

The Apple Translation & Multilingual Intelligence team is looking for

exceptional researchers/scientists to develop the next generation of Apple

Foundation Models to allow our users to communicate across language barriers and

perform multilingual tasks. You will tackle core training challenges in

instruction following, tool use, deep reasoning, and architectural adaption —

designing models that deliver magical, deeply integrated, and privacy-forward

experiences across the Apple ecosystem. You will work alongside a fast-growing

team of world-class experts to explore novel training strategies, architectural

adaptations, increasing language coverage, and advance evaluation methodologies.

Passionate about Natural Language Processing, Large Language Modeling (LLMs) and

multilinguality? Join us to bring the most advanced multilingual solution across

the Apple ecosystem.

DESCRIPTION

In this role, you will

• play a critical role shaping the future of our LLM
• efforts, specifically in transforming our models into highly capable,
• intelligent assistants that power billions of Apple products. You will tackle
• core training challenges in instruction following, tool use, deep reasoning, and
• architectural adaption — designing models that deliver magical, deeply
• integrated, and privacy-forward experiences across the Apple ecosystem. You will
• work alongside a fast-growing team of world-class experts to explore novel
• training strategies, architectural adaptations, and advanced evaluation
• methodologies.
• MINIMUM QUALIFICATIONS
• 4+ year experience in machine learning and NLP with a focus on LLMs,
• post-training, or reinforcement learning, backed by a strong record of academic
• or real-world accomplishments in these or closely related domains. Proficient
• programming skills in Python and a major deep learning framework such as JAX or
• PyTorch. Masters/PhD, or equivalent practical experience, in Computer Science,
• Machine Learning, or a related technical field.
• PREFERRED QUALIFICATIONS
• Experience developing state-of-the-art LLMs that are natively multilingual and
• can successfully complete a wide range of tasks in a variety of different
• languages. Experience training large models at scale, with familiarity in
• distributed training challenges and trade-offs. Ability to formulate a research
• problem, design, experiment and implement solutions in Python, Bash, Java/C/C++
• Design and deployment of real-world, large-scale, user-facing LLM or Machine
• Translation systems. Strong communication skills and a passion for working
• cross-functionally across Research and Product teams.