Machine Learning Engineer

Found in: Jooble US O C2 - 2 weeks ago

San Francisco CA, United States Warner Bros. Discovery Full time

Welcome to Warner Bros. 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. We're a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.
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.
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 will be in the unique role of acting as a leader who can work seamlessly with modeling and engineering teams and can build and contribute to architecting a system that serves millions of users worldwide. 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.
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
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
Knowledge of large-scale distributed application architecture, design, implementation and performance tuning

~ Good practical knowledge in modern machine learning lifecycle.
~5+ years of programming experience using Python/Java with ability to rapidly prototype ideas, and refine towards production.
~ Ability to drive roadmap and directions of scalable production quality systems end-to-end.
~ or equivalent industry experience in software engineering, computer science, machine learning or related fields

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, skill set, experience, and/or performance. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. 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.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.

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