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Machine Learning Scientist 5 – Studio Media Algorithms
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 10,001+Since 1997H1B SponsorCompany SiteLinkedIn
Location
New Jersey
Posted
58 days ago
Salary
$170K - $720K / year
Postgraduate DegreeEnglishJavaPythonPy TorchTensorflow
Job Description
• 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
Job Requirements
- 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 PyTorch
- 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
Benefits
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates
- 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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