

Sr ML Ops Engineer
工作概要:
The Skywalker Sound Development Group is seeking a highly skilled Sr ML Ops Engineer to build and maintain the infrastructure powering our machine learning and AI frameworks. This position is crucial in enabling seamless workflows for model training, retraining, and deployment, ensuring that cutting-edge AI solutions operate reliably at scale.
As a Sr ML Ops Engineer, you will act as the backbone of our AI/ML efforts, bridging the gap between data science, research, and production engineering. Your expertise in DevOps principles, model deployment strategies, and scalable infrastructure will support the development of transformative audio solutions for speech processing, style transfer, and source separation in media production workflows.
This role is considered Hybrid, which means the employee will work 2-3 days onsite at our Nicasio, CA office and occasionally from home.
What You'll Do:
Develop, deploy, and maintain scalable infrastructure for machine learning model training, retraining, and inference.
Design and optimize CI/CD pipelines specifically tailored for machine learning workflows, ensuring efficient delivery from research to production.
Implement robust monitoring and logging systems to track model performance and identify potential issues in production environments.
Collaborate with AI researchers and data scientists to ensure infrastructure aligns with project requirements and supports iterative experimentation.
Manage compute resources (cloud and on-premises) to enable large-scale distributed training and inference tasks.
Containerize machine learning models and applications using Docker and deploy them via Kubernetes or equivalent orchestration systems.
Automate deployment workflows for serving ML models using frameworks such as TorchServe, TensorFlow Serving and FastAPI.
Implement model versioning, rollback strategies, and governance for maintaining production stability.
Optimize cost efficiency and performance of machine learning workflows in cloud environments such as AWS, GCP, or Azure.
Stay updated with emerging ML Ops tools and practices, integrating them into existing workflows to improve performance and reliability.
What We’re Looking For:
Bachelor’s in Computer Science, Engineering, or a related field. Master’s Degree is preferred
5+ years of experience in DevOps, Site Reliability Engineering, or a related role, with at least 2+ years focusing on ML Ops.
Expertise in building and maintaining CI/CD pipelines for machine learning applications.
Strong proficiency with containerization (Docker) and orchestration tools (Kubernetes).
Proficiency in deploying machine learning models using frameworks such as TensorFlow Serving, TorchServe, or custom APIs.
Deep understanding of cloud infrastructure and services (AWS, GCP, or Azure) for ML workloads, including GPUs and TPU utilization.
Experience managing large-scale distributed training workflows and optimizing resource allocation.
Familiarity with tools like MLflow, DVC, Weight+Biases, or similar for data and model tracking and versioning.
Solid understanding of security best practices for machine learning systems and sensitive data handling.
Strong scripting and programming skills in Python, Bash, or Go.
Preferred Qualifications:
Experience with data orchestration tools like DataChain, Weights and Biases, etc, for managing ML workflows.
Hands-on experience with automated hyperparameter tuning and optimization frameworks.
Familiarity with model monitoring tools like Prometheus, Grafana, or custom solutions for model drift and data quality checks.
Experience integrating pre-trained foundational models and managing their deployment at scale.
Contributions to open-source ML Ops projects or relevant research publications.
The hiring range for this position in San Francisco, CA is $152,100 to $203,900 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.
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。
就業申請的殘疾便利安排
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
遇到技術問題?查看常見問題以尋求協助。
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