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Staff Generative AI Research Engineer, Multimodal, Agent Modeling - SIML
Cupertino, CA
·
On-site
·
Full-time
·
1w ago
Are you passionate about Generative AI? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We are driving multiple initiatives focused on advancing generative models, and we are seeking technical leaders experienced in training, adapting and deploying large-scale generative models. This role emphasizes multimodal understanding and generation, and the development of agentic systems that push the boundaries of what AI can achieve responsibly.
We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. It oversees a range of experiences such as System Experience (Springboard, Settings), Image Generation, Genmoji, Writing tools, Keyboards, Pencil & Paper, Generative Shortcuts - all powered by production scale ML workflows. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generation Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.
We are seeking Staff Research Engineers to lead the architecture and innovation of multimodal and agentic reasoning across multimodality. The ideal candidate will drive cross-functional efforts spanning ML modeling, prototyping, validation, and privacy-preserving learning. Strong expertise in machine learning and generative AI, with a proven ability to translate research into production-grade systems, is essential. Experience in agentic reasoning, reinforcement and preference learning, and vision-language multimodal understanding and reasoning is highly desirable.
Selected references to our team's work:
https://arxiv.org/pdf/2507.13575
https://arxiv.org/pdf/2407.21075
https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale-multimodal (2D/3D vision-language) models on distributed backends, deploying efficient neural architectures on device and private cloud compute, addressing emerging safety challenges to make the model/agents robust and aligned with human values.
A key focus of the position is ensuring real-world quality, emphasizing model and agent safety, fairness, and robustness. You will collaborate closely with ML researchers, software engineers, and hardware and design teams across multiple disciplines. The core responsibilities include advancing the multimodal capabilities of large language models and strengthening AI safety and security for agentic workflows. On the user experience front, the work will involve aligning image and video content to the space of LLMs for visual actions and multi-turn interactions, enabling rich, intuitive experiences powered by agentic AI systems.
Preferred Qualifications
Experience with building & deploying AI agents, LLMs for tool use, and Multimodal-LLMs
Aware of the challenges associated to the transition of a prototype into a final product
Minimum Qualifications
PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on computer vision and/or machine learning, or comparable professional experience
Strong ML and Generative Modeling fundamentals:
Experience using one or more of the following: Pre-training or Post-training of Multimodal-LLMs, Reinforcement Learning
Familiarity with distributed training
Proficiency in using ML toolkits, e.g., Py Torch
Proven track record of research contributions demonstrated through publications in top-tier conferences, and demonstrated leadership in both applied research and development
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 .
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 $181,100 and $318,400, 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.
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Appleについて

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
従業員数
Cupertino
本社所在地
$3.5T
企業価値
レビュー
3.9
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.8
キャリア
3.5
経営陣
3.2
72%
友人に勧める
良い点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
改善点
Work-life balance challenges
High stress and pressure
Fast-paced environment
給与レンジ
11,365件のデータ
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0件のレポート
$121,979
年収総額
基本給
-
ストック
-
ボーナス
-
$103,682
$140,276
面接体験
3件の面接
難易度
3.3
/ 5
期間
28-42週間
内定率
33%
体験
ポジティブ 33%
普通 0%
ネガティブ 67%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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