Senior Machine Learning Engineer

Senior MLE, Personalization, Content Discovery

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models and algorithms for our new global streaming app, Max, as well as any future DTC streaming apps. You are excited about working in an environment that fosters innovation via prototyping, development, experimentation, and productionization. You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future.

In your role, you will be working alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to architecting a system that serves millions of users worldwide.

• Architect, build and scale a recommendation system that powers the state-of-the-art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
• Collaborate with ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
• Collaborate with other data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
• Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration
• Use and build upon open-source cloud computing technologies
• Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
• Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

• 4+ years of industry experience in Machine Learning, with 3+ years leading organization wide projects with multiple stakeholders.
• Deep practical knowledge of modern machine learning lifecycle.
• Deep practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/targeting systems and familiarity with A/B Tests and hypothesis testing is preferred.
• Experience with design, implementation, and performance tuning of ML models.
• 4+ years of programming experience in at least one of the following:
  Python/Java/Go with ability to rapidly prototype ideas and refine towards production.
• Deep practical knowledge of large-scale recommender models and systems, or large-scale ML ranking/retrieval/targeting systems.
• Experience with one of the cloud platforms AWS/GCP/Azure.
• Good practical knowledge of SQL and relational databases.
• Experience with CI/CD tools like Git Hub Actions, Jenkins, etc.
• Excellent written and verbal communications skills, be comfortable presenting to large audiences.
• Advanced degree (M.S.), or equivalent industry experience in statistics, computer science, machine learning or related fields.

In compliance with local law, we are disclosing the compensation range for roles in locations where legally required. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $ - $ salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit the accessibility page for instructions to submit your request.

If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.