Machine Learning Scientist (L4) - Studio Media Algorithms
Netflix
Machine Learning Scientist (L4) - Studio Media Algorithms
Job Description
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.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 generative computer vision (CV) and/or related areas such as computer graphics (CG) to research and develop algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle.In this role, you will:Research and prototype reusable algorithms for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into productionDesign, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as neededCollaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directionsExpand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolveAbout you:Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, or CG venuesDeep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation.Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literatureExtensive experience with DL frameworks such as Tensorflow or PyTorchStrong programming skills in languages such as Python, Java, or C++Great interpersonal skills for collaboration with technical and non-technical partnersAdvanced degree in Computer Science or related fieldBonus experience:Cutting-edge work on modern generative methods and their building blocksExpertise in 3D vision and/or graphicsIndustry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areasExperience with tools for generative models, such as ComfyUI Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or NukeOur 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 $170,000 - $720,000.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.Job is open for no less than 7 days and will be removed when the position is filled.
Locations
- USA (Remote)
Salary
170,000 - 720,000 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative computer vision (CV)intermediate
- computer graphics (CG)intermediate
- machine learning in the multimedia domainintermediate
- data processingintermediate
- feature extractionintermediate
- distributed model training with GPUsintermediate
- deploying the produced models into productionintermediate
- design, train/post-train/fine-tune, and evaluate algorithmic solutionsintermediate
- state of the art in CVintermediate
- modern generative model architectures, including diffusion models and/or autoregressive modelsintermediate
- full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluationintermediate
- designing and training deep learning (DL) and diffusion architectures for media generationintermediate
- DL methods and literatureintermediate
- DL frameworks such as Tensorflow or PyTorchintermediate
- programming skills in languages such as Python, Java, or C++intermediate
- interpersonal skills for collaborationintermediate
- 3D vision and/or graphicsintermediate
- content creation domain, such as animation, games, or visual effectsintermediate
- tools for generative models, such as ComfyUIintermediate
- Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nukeintermediate
Required Qualifications
- Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, or CG venues (experience)
- Deep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models (experience)
- Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation. (experience)
- Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literature (experience)
- Extensive experience with DL frameworks such as Tensorflow or PyTorch (experience)
- Strong programming skills in languages such as Python, Java, or C++ (experience)
- Great interpersonal skills for collaboration with technical and non-technical partners (experience)
- Advanced degree in Computer Science or related field (degree in computer science or related field)
Preferred Qualifications
- Cutting-edge work on modern generative methods and their building blocks (experience)
- Expertise in 3D vision and/or graphics (experience)
- Industry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areas (experience)
- Experience with tools for generative models, such as ComfyUI (experience)
- Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nuke (experience)
Responsibilities
- Research and prototype reusable algorithms for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production
- Design, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as needed
- Collaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directions
- Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve
Benefits
- general: 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.
- general: 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 $170,000 - $720,000.
- general: 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.
- general: 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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Machine Learning Scientist (L4) - Studio Media Algorithms
Netflix
Machine Learning Scientist (L4) - Studio Media Algorithms
Job Description
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.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 generative computer vision (CV) and/or related areas such as computer graphics (CG) to research and develop algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle.In this role, you will:Research and prototype reusable algorithms for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into productionDesign, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as neededCollaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directionsExpand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolveAbout you:Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, or CG venuesDeep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation.Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literatureExtensive experience with DL frameworks such as Tensorflow or PyTorchStrong programming skills in languages such as Python, Java, or C++Great interpersonal skills for collaboration with technical and non-technical partnersAdvanced degree in Computer Science or related fieldBonus experience:Cutting-edge work on modern generative methods and their building blocksExpertise in 3D vision and/or graphicsIndustry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areasExperience with tools for generative models, such as ComfyUI Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or NukeOur 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 $170,000 - $720,000.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.Job is open for no less than 7 days and will be removed when the position is filled.
Locations
- USA (Remote)
Salary
170,000 - 720,000 USD / yearly
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative computer vision (CV)intermediate
- computer graphics (CG)intermediate
- machine learning in the multimedia domainintermediate
- data processingintermediate
- feature extractionintermediate
- distributed model training with GPUsintermediate
- deploying the produced models into productionintermediate
- design, train/post-train/fine-tune, and evaluate algorithmic solutionsintermediate
- state of the art in CVintermediate
- modern generative model architectures, including diffusion models and/or autoregressive modelsintermediate
- full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluationintermediate
- designing and training deep learning (DL) and diffusion architectures for media generationintermediate
- DL methods and literatureintermediate
- DL frameworks such as Tensorflow or PyTorchintermediate
- programming skills in languages such as Python, Java, or C++intermediate
- interpersonal skills for collaborationintermediate
- 3D vision and/or graphicsintermediate
- content creation domain, such as animation, games, or visual effectsintermediate
- tools for generative models, such as ComfyUIintermediate
- Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nukeintermediate
Required Qualifications
- Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, or CG venues (experience)
- Deep familiarity with modern generative model architectures, including diffusion models and/or autoregressive models (experience)
- Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques, and/or robust evaluation. (experience)
- Expertise in designing and training deep learning (DL) and diffusion architectures for media generation, with a broad understanding of DL methods and literature (experience)
- Extensive experience with DL frameworks such as Tensorflow or PyTorch (experience)
- Strong programming skills in languages such as Python, Java, or C++ (experience)
- Great interpersonal skills for collaboration with technical and non-technical partners (experience)
- Advanced degree in Computer Science or related field (degree in computer science or related field)
Preferred Qualifications
- Cutting-edge work on modern generative methods and their building blocks (experience)
- Expertise in 3D vision and/or graphics (experience)
- Industry experience in the content creation domain, such as animation, games, or visual effects, and a track record of developing tools/solutions in these (or closely relevant) areas (experience)
- Experience with tools for generative models, such as ComfyUI (experience)
- Computer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or Nuke (experience)
Responsibilities
- Research and prototype reusable algorithms for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production
- Design, train/post-train/fine-tune, and evaluate algorithmic solutions with applications in a variety of domains, pushing forward the state of the art in CV as needed
- Collaborate cross-functionally with machine learning engineers, product managers, as well as creative and business partners and stakeholders, to help define research directions
- Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve
Benefits
- general: 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.
- general: 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 $170,000 - $720,000.
- general: 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.
- general: 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.
Tags & Categories