채용
복지 및 혜택
•Equity
필수 스킬
Generative AI
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
PyTorch
Model training
Data curation
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity:
Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors.
What You'll Do
- Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs.
- Develop and deploy novel generative AI technologies to existing and new Adobe Products.
- Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities.
- Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions.
- Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields
Required Qualifications
- Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 4+ years professional experience.
- Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio.
- Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques.
- Experience with post-training techniques such as fine-tuning, alignment or distillation.
- Proficiency with modern deep learning frameworks (e.g., Py Torch) and experience scaling models on GPU/TPU clusters.
- Excellent communication skills and a strong great teammate
What You'll Bring
- Experience on large-scale generative model training
- Experience on synthetic data generation
- Experience of working with large-scale datasets
- Experience of working with product teams on technology transfers
#Firefly GenAI
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625
In Washington, the pay range for this position is $201,000 - $291,150
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices: California:
Fair Chance Ordinances:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts: Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
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Adobe 소개

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
직원 수
San Jose
본사 위치
$126B
기업 가치
리뷰
2.9
2개 리뷰
워라밸
3.0
보상
3.2
문화
2.5
커리어
2.3
경영진
2.5
25%
친구에게 추천
장점
Competitive base salary for new graduates
Good entry-level compensation in major markets
Established company with financial stability
단점
Limited skill transferability to other tech stacks
Unclear compensation competitiveness
Negative reviews and limited information about AEM
연봉 정보
751개 데이터
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L2
0개 리포트
$175,386
총 연봉
기본급
-
주식
-
보너스
-
$149,078
$201,694
면접 경험
3개 면접
난이도
3.3
/ 5
면접 과정
1
Application Review
2
Online Assessment (HackerRank)
3
Technical Interview
4
Coding Rounds
5
System Design Interview
6
Behavioral Interview
7
Team Matching
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
GenAI/ML Concepts
뉴스 & 버즈
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·
4d ago