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

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.

Responsibilities:

Interface with product teams to translate product requirements into model capabilities, drive the research and development to improve observed loss patterns in different model training stages.

Drive data strategy by researching methods for high-quality human and synthetic data generation, automated data filtering, and curriculum learning to improve multilingual response quality and locale coverage.

Design robust evaluation methodologies to measure model helpfulness, factuality, and utility, moving beyond static benchmarks to accurately capture real-world performance.

Design and iterate on end-to-end post-training strategies to unlock model capacities toward achieving specific model behaviors.

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.

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.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Client-provided location(s): New York, NY

Job ID: apple-200681288-2459

Employment Type: OTHER

Posted: 2026-09-05T21:16:55