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职位Netflix

CG Artist - Inkubator

Netflix

CG Artist - Inkubator

Netflix

Los Angeles,California,United States of America; Los Gatos,California,United States of America

·

On-site

·

Full-time

·

1mo ago

At Netflix, our mission is to entertain the world. Together, we partner with creators as they experiment with a range of cutting-edge tools that bridge innovation with imaginative storytelling. Come join Inkubator to shape what’s next and explore the creative possibilities.

Position Summary

We are seeking CG Artists to join our pioneering team creating animated shorts and specials using experimental GenAI-native production pipelines. Working alongside Directors, Producers, and technology teams, this role will help support show-specific workflow and technical needs as we aim to develop feature-quality content in a creator-led environment. Artists on this team will help shape storytelling and visual aesthetics with creative leadership, actively participating in the development of new workflows and technologies as we expand from shorts to longer-form content.

Key Responsibilities

  • Collaborate with a team of CG and Generative AI experts to develop unique content for animated shorts and specials, leveraging a GenAI-native pipeline that combines generative AI tools with traditional animation techniques.

  • Work closely with creative leadership to shape storytelling and visual aesthetics that meet feature-quality standards and align with the creative vision of the Director and project leads.

  • Contribute to the creation of short stories in a fast-paced, sprint-based production environment.

  • Actively participate in creative discussions and brainstorming sessions.

  • Use GenAI tools such as ComfyUI to generate concept frames, style frames, character explorations, and environment designs based on scripts, outlines, or verbal direction.

  • Experiment with and evaluate the latest generative tooling and be open to testing new technology throughout the development process.

  • Create shot-ready assets (e.g., characters, props, environments) using a combination of generative tools and traditional DCCs (Photoshop, Maya, Houdini, Harmony, Blender, etc.).

  • Build and fine-tune generative image and video models.

  • Test and compare multiple generative tools and workflows (e.g., different models, LoRAs, motion tools), document results, and recommend best practices to the team.

  • Help develop and document new GenAI/traditional hybrid workflows, collaborating with production and technology teams to improve efficiency and creative output.

Qualifications

  • Experience with ComfyUI and traditional CG 2D and/or 3D DCCs such as Photoshop, Maya, Houdini, Harmony, and/or Blender.

  • Experience with creating and animating assets (terrains, layout, characters, control-rigs, lighting) within Unreal Engine.

  • Ability to help develop character and visual designs that align with the desired style and sensibility, focusing on character personality, mood, and tone.

  • Strong conceptual understanding of diffusion-based rendering and animation techniques. Experience training image LoRAs, video LoRAs, and similar are a plus.

  • Strong collaborative skills and ability to work in a team environment with Directors, Producers, and technology leads, often in rapidly evolving, experimental pipelines.

  • Passion for storytelling and animation with a portfolio showcasing the ability to create compelling narratives using AI tools. Demonstrates excellence and inspiration in storytelling, visual comedy, and innovative thinking, with a strong understanding of how to leverage generative AI tools to enhance creative storytelling.

  • Ability to adapt to new technologies and tools and quickly pivot in this fast-moving field where workflows and creative approaches are being developed in real time.

  • High level of independence and initiative, as production support structures and workflows will be evolving alongside the creative process.

This job may be covered by a collective bargaining agreement. If so, pay for the position is governed by the currently effective applicable collective bargaining agreement and thus will be no less than $62.74 an hour and up to any better conditions and terms negotiated and obtained as expressly provided therein.

Depending on whether you are covered by a collective bargaining agreement, INK benefits can include medical/dental/vision plans, mental health support, retirement programs, and family-forming benefits, paid leave of absence programs, and paid time away programs to be used for vacation and sick paid time off.

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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关于Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

员工数

Los Gatos

总部位置

$280B

企业估值

评价

3.8

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.8

职业发展

4.0

管理层

3.2

68%

推荐给朋友

优点

Great benefits and perks

Supportive team and culture

Competitive salary and compensation

缺点

Fast-paced and high pressure environment

Work-life balance issues

High workload and long hours

薪资范围

1,875个数据点

Mid/L4

Mid/L4 · Analytics Engineer

7份报告

$274,996

年薪总额

基本工资

$211,536

股票

-

奖金

-

$274,996

$358,605

面试经验

4次面试

难度

4.0

/ 5

录用率

25%

体验

正面 25%

中性 25%

负面 50%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Team Matching

7

Final Round

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit