Senior Machine Learning Engineer

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Roles & Responsibilities

We are looking for a passionate Senior Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine learning engineers and applied science researchers contributing to a system that serves 100+ million users worldwide.

• Contribute to architecting, building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offerings
• Contribute on building machine learning systems and operations for personalization.
• Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platforms
• Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models
• Collaborate with platform, content, user data and product partners as Max expands to new markets around the globe
• Author, test, review, and optimize production-level code in Java, Go and Python while executing best practices in version control and code integration.
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly advocating for doing what is right for our customers
• Contribute technical documentation to support project planning, operational excellence, and knowledge sharing

What To Bring

• 5+ years of industry experience
• University degree (B.S. or M.S.) or equivalent industry experience in software engineering, computer science, machine learning or related fields
• 3+ years of distributed systems engineering with a large scale customer base
• 3+ years of experience contributing to machine learning driven systems
• Practical knowledge in modern machine learning lifecycle
• Knowledge of large-scale distributed application architecture, design, implementation and performance tuning
• Strong architectural and design skills
• 3+ years of programming experience in Java
• Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
• Experience with one of the cloud platforms AWS/GCP/Azure
• Experience with CI/CD tools like GitHub Actions, Jenkins etc.
• Experience with Docker and Kubernetes
• Familiarity with agile practices and processes
• Familiarity with search engine technology, such as ElasticSearch/OpenSearch
• Familiarity with data analytics platforms such as Databricks or Snowflake

Preferred:

• Hands-on experience with a machine learning platform
• Working experience with global teams
• Programming experience in Java
• Data modeling experience

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. 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 our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $132,300.00 – $245,700.00 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.

Source ⇲