Senior ML Researcher: Multimodal LLM Post-Training

Apple, Inc.; San Diego (CA); Presencial; USD 175.000 - 309.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

Employee stock program

Relocation assistance

Tuition reimbursement

Descripción de la vacante

Apple is seeking a Senior ML Researcher in San Diego to advance foundation model post-training, including supervised fine-tuning and reinforcement learning. You will develop capabilities for instruction following, tool use, and reasoning, delivering models that enhance Apple’s creative user experiences.

You will collaborate with researchers, engineers, and product teams to deploy research into products, define data collection, run experiments, and validate results.

Formación

• MS in Computer Science, Machine Learning, or related field, or equivalent practical experience
• Minimum 4+ years of research experience in Multi-Modal LLM training and evaluation
• Proven track record in multimodal SFT plus distillation/priority optimization or online RL with shipped models or rigorous experiments
• Strong programming skills in Python and at least one deep learning framework such as JAX or PyTorch

Responsabilidades

• Research, design, and deliver models where machine learning research meets real-world product impact
• Work closely with research scientists, engineers, and product teams to apply generative AI to Apple’s products
• Formulate hypotheses, collect data, build evaluations, and improve the post-training recipe

Conocimientos

Python

Multimodal LLM

JAX/PyTorch

Problem to dataset design

Educación

MS in Computer Science or related field

Herramientas

JAX

PyTorch

Descripción del empleo

San Diego, California, United States Software and Services

We are looking for a Senior ML Researcher who is passionate about foundation model post-training, including Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), and has experience with core capabilities such as instruction following, tool use, deep thinking, and reasoning. In this role, you will research, design, and deliver models where machine learning research meets real-world product impact. You will work closely with research scientists, engineers, and product teams to find new ways that generative AI can help our creative users. Your mission is to improve the workflows of millions of creators by combining generative AI with Apple's human-centered design principles.

Description

What makes our work unique is we have many research opportunities in real-world use cases in multimodal space. Our goal is to develop targeted, task‑specific capabilities within our models across a broad range of areas, including video understanding, reasoning, instruction following, and agentic tasks. The role involves contributing to every stage of the post‑training process: Formulate hypotheses for a use case. Define data collection and annotation. Build evaluations of model capabilities. Apply SFT, advanced reward modeling, RL techniques, and distillation to develop and improve the post‑training recipe. Execute experiments, validate results, and communicate findings to the broader team. If you're passionate about doing research that ships in Apple's legendary products, this is the team for you.

Minimum Qualifications

• MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience
• Minimum 4+ years of research experience in Multi-Modal LLM training and evaluation
• Proven track record in multimodal SFT plus at least one of distillation, preference optimization, or online RL, backed by shipped models or rigorous experiments
• Strong programming skills in Python and at least one deep learning framework, such as JAX or PyTorch.
• Ability to build intuition from a problem statement and translate it into dataset requirements, neural network design, and loss functions.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience
• Experience in GRPO, DPO, Vision-OPD, and visual-token compression
• Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
• Bonus: Experience in quantization, on-device models and SLM (Small Language Model)

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 $175,000 and $308,500, 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.

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Apple accepts applications to this posting on an ongoing basis.