채용

Machine Learning Scientist 5 - Studio Media Algorithms
Los Gatos,California,United States of America
·
On-site
·
Full-time
·
7mo ago
필수 스킬
Machine Learning
At Netflix, our mission is to entertain the world.
Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.
Come be a part of what’s next.
The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work.
This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world.
To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.We are looking for a Research Scientist with demonstrated experience in computer vision (CV) and/or related areas such as natural language processing (NLP) or computer graphics (CG) to research and develop core algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle, including live action, animation, and games.In this role, you will:Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in a variety of domains in the VFX, animation, and games space, pushing forward the state of the art in CV as needed Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes, which can be used by other scientists and engineers across teams Work cross-functionally with engineers, scientists, artists, and product leaders to help identify and prioritize strategic research investment opportunities and problem requirements Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve About you:Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP venues Deep familiarity with modern generative model architectures, including diffusion models (e.g., MMDiT) and/or autoregressive models (e.g., GPT-style).Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques (e.g., fine-tuning, RL), and/or robust evaluation.
Expertise in designing and training deep learning (DL) architectures for media understanding and generation, with a broad understanding of DL methods and literature Deep mathematical skills with knowledge of statistical methods and optimization Extensive experience with DL frameworks such as Tensorflow or Py Torch Strong programming skills in languages such as Python, Java, or C++Great interpersonal skills for collaboration with technical and non-technical partners Advanced degree in Computer Science or related field Bonus experience:Cutting-edge work on modern generative methods and their building blocks Expertise in 3D vision and/or graphics Domain experience in content production, such as live action, games, or animation, and a track record of developing tools/solutions in these (or closely relevant) areas Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.
You choose each year how much of your compensation you want in salary versus stock options.
To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
The range for this role is **$466,000.00 - $750,000.00.**Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
We also offer paid leave of absence programs.
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
Full-time salaried employees are immediately entitled to flexible time off.
See more details about our Benefits here.
Netflix is a unique culture and environment.
Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
We approach diversity and inclusion seriously and thoughtfully.
We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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Netflix 소개

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
직원 수
Los Gatos
본사 위치
$280B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.8
커리어
4.0
경영진
3.2
68%
친구에게 추천
장점
Great benefits and perks
Supportive team and culture
Competitive salary and compensation
단점
Fast-paced and high pressure environment
Work-life balance issues
High workload and long hours
연봉 정보
1,875개 데이터
L3
L4
L5
L6
Mid/L4
Senior/L5
L3 · Data Scientist
0개 리포트
$242,500
총 연봉
기본급
-
주식
-
보너스
-
$206,125
$278,875
면접 경험
4개 면접
난이도
4.0
/ 5
합격률
25%
경험
긍정 25%
보통 25%
부정 50%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
뉴스 & 버즈
Netflix work life balance?
Mixed reports: some describe it as 'demanding but respectful', others call it a 'meat grinder'. WLB varies significantly by team and manager. Rating: 3.6/5 on Glassdoor.
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