Sr Staff R&D Engineer

工作 ID 10127968 地點 Nicasio, 加利福尼亚州, 美國 有意工作的公司 Lucasfilm 日期已公佈 Aug. 19, 2025

申請

工作概要:

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.

You will architect, build, and optimize cutting-edge machine learning systems at scale—leveraging foundational models, neural vocoders, latent diffusion models, and advanced retraining workflows. As a core member of our applied R&D team, 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.

This role is considered Hybrid, which means the employee will work onsite in our Nicasio, CA office and occasionally from home.

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 contribute to 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 mult-imodal 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.

The hiring range for this position in Nicasio, CA is $201,900 to $270,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. 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/or other benefits, dependent on the level and position offered.

申請

關於Lucasfilm:

Lucasfilm 是全球電影、電視和數碼娛樂製作領域的領導者。除了電視和電視製作，公司的活動包括視覺效果、音頻後期製作和前沿數碼動畫、互動式娛樂軟件，以及全球營銷活動的管理，包括 STAR WARS 和 INDIANA JONES 的特許經營的管理。Lucasfilm Ltd. 總部位於加利福尼亞州北部。

關於 The Walt Disney Company:

Walt Disney Company 連同其子公司和聯營公司，是領先的多元化國際家庭娛樂和媒體企業，其業務主要涉及三個範疇：Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初，只是一間卡通工作室，至今已成為娛樂界的翹楚，並昂然堅守傳承，繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落，深入人心。我們在 40 多個國家/地區營運業務，僱員及演藝人員攜手協力，創造全球和當地人們都珍愛的娛樂體驗。

這個職位隸屬於 Lucasfilm Ent Co Ltd, LLC Payroll Svc，其所屬的業務部門是 Lucasfilm。

Lucasfilm Ent Co Ltd, LLC Payroll Svc 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會，不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境，並與瞬息萬變的世界息息相關。

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