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

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

algorithmic solutionsdataset curationlarge-scale trainingpost-training processesgenerative model architecturesdiffusion modelsautoregressive modelsdeep learning architecturesstatistical methodsoptimization

Soft skills

interpersonal skillscollaboration

Certifications

advanced degree in Computer Science