Sr Staff R&D Engineer

Sr Staff R&D Engineer Job Summary:​ The Skywalker Sound Development Group is seeking a highly accomplished Sr Staff R&D Engineer (AI/ML) to lead the development of transformative audio intelligence technologies for global media production. This senior‑level role is central to advancing our next‑generation soundtrack platform, with a focus on speech processing, style transfer, upmixing, source separation, and generative audio synthesis. Key responsibilities include architecting, building, and optimizing machine learning systems at scale—leveraging foundational models, neural vocoders, latent diffusion models, and advanced retraining workflows. You will contribute to technical direction, collaborate across product and engineering, and deliver production‑ready solutions that integrate seamlessly into creative and operational workflows for elite content creators worldwide. What You’ll Do Lead the research, design, and implementation of state‑of‑the‑art machine learning algorithms for speech processing, voice transfer, source separation, and upmixing in media post‑production environments. Drive the architecture and deployment of scalable model training pipelines using PyTorch and distributed computing frameworks. Develop novel generative audio models, including latent diffusion, flow‑based models, variational autoencoders, and neural vocoders, optimized for professional soundtrack production. Own end‑to‑end model lifecycle management: pretraining, fine‑tuning, validation, inference optimization, and CI/CD integration. Guide the development of personalized model adaptation workflows to support per‑user tuning, cross‑project continuity, and flexible deployment. Collaborate with product, platform, and engineering leads to define integration strategies within a secure, cloud‑optimized SaaS environment. Stay at the forefront of generative audio, multi‑modal modeling, and self‑supervised learning—translating emerging research into applied innovation. Contribute to internal tooling and infrastructure that improves iteration speed, reproducibility, and explainability of deployed models. Mentor junior researchers and engineers, and foster a culture of rigorous experimentation, collaboration, and continuous improvement. What We’re Looking For MSc or PhD in Computer Science, Electrical Engineering, Applied Math, or a related field with a focus on AI/ML and multi‑modal signal processing. 5 years of professional experience in applied ML, with a deep focus on audio‑centric AI/ML research and deployment. Expertise in building and scaling models using PyTorch, with fluency in training, fine‑tuning, and inference for deep neural networks. Demonstrated experience developing generative models such as VAE, GAN, diffusion models, or neural vocoders (e.g., HiFi‑GAN, WaveNet). Deep understanding of audio‑specific ML domains, including source separation, speech enhancement, music processing, and cross‑modal tasks. Experience with MLOps tooling (e.g., Weights & Biases, MLflow, Datachain), Docker‑based containerization, and scalable infrastructure for distributed training. Fluency in audio signal processing fundamentals and the integration of DSP into ML pipelines. Proven ability to contribute to architectural planning, research strategy, and production deployment in complex, multi‑stakeholder environments. Preferred Qualifications Familiarity with audio/text/video multi‑modal frameworks and cross‑domain representations. Experience implementing real‑time or near‑real‑time inference pipelines in cloud or edge environments (e.g., AWS, GCP, on‑prem GPUs). Working knowledge of latent diffusion audio models (e.g., stable‑audio, AudioLDM, AudioGen). Strong knowledge of industry‑standard audio datasets and benchmarks (LibriSpeech, VCTK, MUSDB, etc.). Experience optimizing inference pipelines for creative applications or interactive use. Proficiency in lower‑level audio frameworks (C / C++, etc.). Contributions to published research at top‑tier conferences (NeurIPS, ICASSP, ICLR, Interspeech) and/or open‑source ML frameworks. Hiring range for this position in Nicasio, CA is $206,400 to $276,700 per year. The base pay actually offered will take into account internal equity and may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and other benefits, depending on the level and position offered. Equal Opportunity Employer Lucasfilm Ent Co Ltd, LLC Payroll Svc is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. #J-18808-Ljbffr The Walt Disney Company