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Senior Applied ML Scientist - Generative Video

Apple

Senior Applied ML Scientist - Generative Video

Apple

Cupertino, CA

·

On-site

·

Full-time

·

2d ago

We are looking for a passionate Senior Applied ML Researcher to drive innovation in generative video modeling, with a strong focus on diffusion-based methods and related generative features. In this role, you will research, design, and deploy models at the intersection of machine learning research and real-world product impact.

You will collaborate closely with research scientists, engineers, and product teams to find novel applications of generative AI capabilities to assist our creative user base. Your mission is to elevate the workflows of millions of creators by combining generative AI with Apple's human-centered design principles.

Description

Design and train state-of-the-art generative video models, primarily based on diffusion, consistency, rectified flow, or related generative frameworks

Explore novel architectures for spatiotemporal modeling (e.g., 3D U-Nets, DiT-style Transformers, hybrid CNN-Transformer models)

Conduct experiments on long-range temporal coherence, motion consistency, controllability, and multi-modal conditioning (text, audio, images)

Preferred Qualifications

PhD with research focused on generative modeling, diffusion models, or video understanding

Experience with text-to-video, image-to-video, or video-to-video generation

Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, etc.)

Minimum Qualifications

MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience

4+ years of experience in deep learning for generative models, particularly diffusion-based methods

Hands-on experience in distributed training of large models using Py Torch (or equivalent frameworks)

Solid understanding of video representations, spatiotemporal modeling, and neural network optimization.

Experience designing & training multi-modal DiT-style Transformers, latent diffusion, or multi-stage video generation pipelines

Experience design & training adapters

Proven ability as a creative problem solver

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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총 지원 클릭 수

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모의 지원자 수

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스크랩

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Apple 소개

Apple

Apple

Public

Apple 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+

직원 수

Cupertino

본사 위치

$3.5T

기업 가치

리뷰

3.9

10개 리뷰

워라밸

2.5

보상

4.2

문화

3.8

커리어

3.5

경영진

3.2

72%

친구에게 추천

장점

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

단점

Work-life balance challenges

High stress and pressure

Fast-paced environment

연봉 정보

11,365개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0개 리포트

$121,979

총 연봉

기본급

-

주식

-

보너스

-

$103,682

$140,276

면접 경험

3개 면접

난이도

3.3

/ 5

소요 기간

28-42주

합격률

33%

경험

긍정 33%

보통 0%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience