Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Lead Machine Learning Engineer (Video).
United States Jobs Expertini

Urgent! Lead Machine Learning Engineer (Video) Job Opening In San Francisco – Now Hiring Disney Entertainment and ESPN Product & Technology

Lead Machine Learning Engineer (Video)



Job description

Résumé du poste:

Overview:

Technology is at the heart of Disney’s past, present, and future.

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.

We are Storytellers and Innovators.

Creators and Builders.

Entertainers and Engineers.

We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Disney Entertainment & ESPN Product Technology:

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future.

Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

  • Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

  • Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

  • Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

  • Job Summary:

    As a core contributor within our Machine Learning (ML) organization, you will lead the research, development, deployment, and optimization of ML applications, collaborating closely with cross-functional teams including Engineering, Product, Data, and Editorial.

    Your work will:

    directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs.

    In addition to execution, you will contribute to the ML-Lab team’s broader mission: enabling the use of machine learning across heterogeneous environments and at every stage of a project’s lifecycle—from ad-hoc exploration to robust production deployment.

    This includes partnering with engineering and service teams to:

  • Drive infrastructure innovation for scalable learning, inference, and monitoring

  • Provide ML consultancy and mentorship

  • Conduct in-depth data exploration and analysis

  • Responsibilities:

  • Drive data and ML driven solutions for diverse engineering use cases such as recommendation systems, object detection, anomaly detection, RAGs and translations

  • Architect and build end to end ML models to drive data driven decisions

  • Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s

  • Provide technical leadership to a team of engineers and work collaboratively with peers to achieve goals within deadlines

  • Basic Qualifications:

  • BS in computer science, statistics, math or a related quantitative field + 7 years of relevant SWE and MLEng experience

  • Expertise in data science, (deep) learning algorithms, or statistical methods to solve real-world engineering problems

  • Comfortable operating at all levels of the predictive stack, including data collection, feature engineering, batch training and low-latency online serving

  • Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, and container systems such as Docker or Kubernetes

  • Track record of building scalable ML applications, from design to full production

  • Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)

  • Excellent written and oral communication skills

  • Preferred Qualifications:

  • Hands-on experience building models for video processing (such as clipping, cropping, understanding, search, …)

  • Familiarity with developing and deploying Spark and ML pipelines

  • Hands on experience with big data technologies such as Hadoop, HDFS, Airflow, Databricks, Kinesis, Kafka

  • Drive and maintain a culture of quality, innovation and experimentation

  • Mentor colleagues on best practices and technical concepts of building large scale solutions


  • The hiring range for this position in New York or Seattle is $175,800 to $235,700 per year, in San Francisco is $183,700 to $246,400 per year, and in Los Angeles is $167,700 to $224,900 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



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Lead Machine Potential: Insight & Career Growth Guide


    • Real-time Lead Machine Jobs Trends in San Francisco, United States (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Machine in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 94788 jobs in United States and 2732 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Lead Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Lead Machine Learning Engineer (Video) Job?

      Great news! is currently hiring and seeking a Lead Machine Learning Engineer (Video) to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • 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 Disney Entertainment and ESPN Product & Technology adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying United States laws and regulations
    • What Is the Average Salary Range for Lead Machine Learning Engineer (Video) Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in San Francisco. 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 Lead Machine Learning Engineer (Video)?

      Key qualifications for Lead Machine Learning Engineer (Video) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Lead Machine Learning Engineer (Video)?

      To improve your chances of getting hired for Lead Machine Learning Engineer (Video), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Lead Machine Learning Engineer (Video) Job Success
      Disney Entertainment and ESPN Product & Technology interview tips for Lead Machine Learning Engineer (Video)

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Disney Entertainment and ESPN Product & Technology'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.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Lead Machine Learning Engineer (Video) interview at Disney Entertainment and ESPN Product & Technology, 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 Disney Entertainment and ESPN Product & Technology'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!

    • How to Set Up Job Alerts for Lead Machine Learning Engineer (Video) Positions

      Setting up job alerts for Lead Machine Learning Engineer (Video) is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!