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

Apple, Inc.; New York (NY); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Relocation assistance

Bonuses/commission (at Apple)

Job summary

Apple, Inc. is seeking a Senior ML Research Engineer to advance multilingual LLMs within the Translation & Multilingual Intelligence team in New York City.

You will shape post-training strategies, improve instruction following and tool use, and design architectures that deliver privacy-forward experiences across Apple products. You will collaborate with world-class researchers to push language coverage, evaluate models, and translate product requirements into model capabilities while maintaining

Qualifications

• 4+ years of ML/NLP experience focused on LLMs, post-training, or RL.
• Proficient in Python and a major DL framework (PyTorch or JAX).
• Master's/PhD or equivalent practical experience in Computer Science, ML, or related field.

Responsibilities

• Interface with product teams to translate requirements into model capabilities and improve training loss patterns.
• Research data strategies for high-quality human and synthetic data and curriculum learning for multilingual coverage.
• Design robust evaluation methodologies to measure model usefulness, factuality, and real-world performance.
• Develop end-to-end post-training strategies to unlock model capabilities and desired behaviors.

Skills

ML & NLP

Python

DL Frameworks (PyTorch/JAX)

Education

Master's or PhD in CS/ML

Tools

Python

Bash

Java/C/C++

Job description

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

New York City, New York, United States Machine Learning and AI

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.

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.

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.

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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.