At Starz, we're transforming how fifteen million subscribers discover and enjoy premium content through our direct-to-consumer platform. We're seeking a mid-level Engineer, Artificial Intelligence/Machine Learning to join our automation team and help harness the power of big data to drive business decisions and enhance the viewer experience.

The Engineer, Artificial Intelligence/Machine Learning will be a key member of our automation team, helping build solutions that analyze real-time and operational data from our subscribers. You will bridge the gap between raw data and actionable insights, optimize content discovery, personalization, subscriber retention, and platform performance. This role offers an opportunity to apply cutting-edge AI/ML techniques to real-world streaming media challenges in a welcoming, collaborative environment. Essential Responsibilities Help implement machine learning algorithms and deep learning applications that advance our predictive capabilities across the Starz DTC platform Process, clean, and validate large datasets from our subscriber base to ensure high-quality inputs for machine learning models Perform feature engineering to improve performance and accuracy in predicting subscriber behavior and content preferences Develop and maintain pipelines for data processing, training, and deployment within our production environment Train, evaluate, and fine-tune machine learning models to ensure optimal performance and accuracy Implement A/B testing frameworks to validate machine learning model performance in real-world scenarios Monitor model performance in production and implement improvements based on performance metrics Document methodologies, processes, and results to enable knowledge sharing across the team Stay current with the latest advancements in machine learning and artificial intelligence to continuously improve our technological capabilities Qualifications and Skills Bachelor's degree in Computer Science, Statistics, Mathematics, or related field 2-4 years of professional experience building and deploying machine learning models in production environments Programming skills in Python with demonstrated knowledge of good coding practices Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Proficiency in SQL and experience working with large datasets in cloud environments Knowledge of data processing technologies for handling real-time streaming data Understanding of statistical analysis, experimental design, and A/B testing methodologies Excellent problem-solving abilities and attention to detail Nice to Haves Master's degree in computer science / data science Programming skills in C#/ Java Experience developing high-scale applications Back-end coding / API development experience Experience with data visualization tools (Tableau, PowerBI, or similar) Experience in the media, entertainment, or streaming industry Strong communication skills with the ability to translate technical concepts to non-technical stakeholders What We Offer Opportunity to impact how millions of subscribers interact with premium content Collaboration with experienced senior engineers who will mentor and support your professional growth Access to rich, diverse datasets from one of the leading premium global subscription platforms Chance to work at the intersection of entertainment and cutting-edge technology Competitive salary and comprehensive benefits package At Starz, we're committed to building technology that enhances how people discover and enjoy extraordinary content. If you're passionate about applying machine learning to solve real-world problems and want to be part of a team that's shaping the future of entertainment, we want to hear from you.

Compensation

$125,000 - $145,000

About STARZ

STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning "We're All Adults Here." Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.

Our Benefits Full Coverage - Medical, Vision, and Dental Annual discretionary bonus and merit increase Work/Life Balance - generous sick days, vacation days, holidays, and wellness days 401(k) company matching Tuition Reimbursement (up to graduate degree)

EEO Statement

Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.