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Urgent! Senior Principal Machine Learning Engineer Job Opening In San Francisco – Now Hiring Disney Entertainment and ESPN Product & Technology
Job Summary:
We are hiring a Senior Principal Machine Learning Engineer to shape the future of personalization and content recommendations across Disney+, Hulu, ABC, and ESPN.
As one of the most senior technical leaders in our organization, you will set the direction for machine learning innovation at scale—guiding both long-term vision and near-term execution for products that impact hundreds of millions of users.
This is a strategic individual contributor role with broad technical scope and organizational influence.
You will define architectural standards for personalization systems, lead cross-functional initiatives spanning multiple business units, and drive the development of novel algorithms that deliver measurable user and business value.
You will partner with executive leadership across Engineering, Product, and Data to align personalization strategies with company-wide priorities.
In addition to solving high-impact technical challenges, you will serve as a thought leader and mentor—elevating the work of other senior engineers and helping build a culture of technical excellence and innovation across the organization.
Responsibilities:
Define and drive the long-term technical vision for personalization and recommendation systems across Disney+, Hulu, ABC, and ESPN—ensuring alignment with overarching product and business strategies.
Lead the development of foundational machine learning architectures and algorithms, enabling scalable, real-time, and highly personalized user experiences for hundreds of millions of users.
Serve as a cross-functional thought leader, partnering with senior executives in Product, Engineering, Data, and Design to influence company-wide personalization strategy and investment.
Identify and drive high-impact initiatives that advance the state-of-the-art in machine learning, guiding efforts from concept through deployment with measurable business outcomes.
Mentor and elevate technical leaders across teams, fostering a culture of innovation, rigor, and excellence in machine learning engineering.
Set standards for experimentation, model evaluation, and algorithm fairness; establish frameworks and tools to accelerate development and promote reproducibility.
Represent Disney Streaming’s personalization efforts in strategic forums, internal councils, and external technical communities (., conferences, publications, industry panels).
Basic Qualifications:
Track recordings of research & publications in recommendation system domain with deep neural net algorithms.
Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch.
Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
Track record from design to full production of effective recommendation systems.
Experience with cloud services in a production environment (particularly AWS).
Understanding of statistical concepts (., hypothesis testing, regression analysis).
Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences.
12+ years of relevant experience
Preferred Qualifications:
Master’s or PhD in statistics, math, computer science, or related quantitative field.
Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance.
Deep understanding in personalization challenges in homepage experience and proven records of developing effective solutions.
Experience with:
12+ years of experience in developing highly scalable machine learning products
12+ years writing production-level, scalable Python codes
Required Education:
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
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Unlock Your Senior Principal Potential: Insight & Career Growth Guide
Real-time Senior Principal 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 Senior Principal 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 201288 jobs in United States and 7963 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Senior Principal roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Disney Entertainment and ESPN Product & Technology is currently hiring and seeking a Senior Principal Machine Learning Engineer to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Senior Principal Machine Learning Engineer Jobs United States 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.
Key qualifications for Senior Principal Machine Learning Engineer 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.
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Before the Interview:To prepare for your Senior Principal Machine Learning Engineer 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.
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