Machine Learning Engineer II - Java Development

Key Skills

A/B Testing, AWS, Azure, C++, Continuous Integration & Continuous Delivery - CI/CD, Employee life cycle, Github, Google Cloud Platform (GCP), JavaScript, Jenkins, logo, Python Programming

Job Description

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.

Warner Bros. Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences. Our platform covers everything from search, content catalog, and video transcoding, to personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles. As a pure tech organization, we are essential to Warner Bros. Discovery’s continued growth, building world-class streaming products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, MotorTrend, and many more.

Your New Role...

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services 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 productionalization. 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 researchers to build and contribute to architecting a system that serves millions of users worldwide.

Your Role Accountabilities…

• Architect, build and scale a recommendation system that powers a state of the art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
• Collaborate with other ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
• Lead architecture improvements for our personalization services and infrastructure
• Collaborate with 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
• 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

Qualifications and Experience…

• 2+ years of industry experience as a software engineer or machine learning engineer is preferred
• 4+ years of programming experience in at least one of the following: Java/Go with ability to rapidly prototype ideas, and refine towards production.
• Experience with one of the cloud platforms AWS/GCP/Azure
• Understanding of sql and relational databases
• Experience with CI/CD tools like GitHub Actions, Jenkins etc.
• Experience with design, implementation and performance tuning
• Knowledge of large-scale distributed application architecture and good practical knowledge in modern machine learning lifecycle is a bonus
• 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
• Excellent written and verbal communications skills and can present technical topics to large audiences
• Advanced degree (M.S.), or equivalent industry experience in software engineering, computer science, machine learning or related fields

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.

The Legal Bits…

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, skillset, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for

employees. Pay Range: $119,700.00 - $222,300.00 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 paid time off (PTO).

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 need a reasonable accommodation in order to apply for this position, please contact us at recruitadmin@wbd.com.