Machine Learning Scientist, Studio Media Algorithms

Remote, USA Full-time
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• Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes• 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 evolveRequirements:• 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• 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++• Advanced degree in Computer Science or related fieldBenefits:• Inclusion is a Netflix value• Flexible work arrangements Apply tot his job
Apply Now
Back to Home