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Sr ML Ops Engineer Job Opening In Nicasio – Now Hiring Lucasfilm


Job description

Job Summary:

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.

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.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Sr ML Potential: Insight & Career Growth Guide


    Real-time Sr ML Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Sr ML in Nicasio, United States, highlighting market share and opportunities for professionals in Sr ML roles.

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    Are You Looking for Sr ML Ops Engineer Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lucasfilm adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Sr ML Ops Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Nicasio. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Sr ML Ops Engineer?

    Key qualifications for Sr ML Ops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Sr ML Ops Engineer Job Success

    Lucasfilm interview tips for Sr ML Ops Engineer

    Here are some tips to help you prepare for and ace your Sr ML Ops Engineer job interview:

    Before the Interview:

    Research: Learn about the Lucasfilm's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Sr ML Ops Engineer interview at Lucasfilm, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lucasfilm's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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