About the role

What will you do at Warner Bros. Discovery?

Welcome to Warner Bros. Discovery… the stuff dreams are made of. 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. At HBO Max, storytelling takes center stage. We’re one of the

world’s most iconic entertainment brands — home to bold originals and

unforgettable characters. While audiences binge award-winning content, breaking

news, and sports around the clock, our teams stay busy at work creating what’s

next in streaming. From Succession, Euphoria, and The Sopranos to global

franchises like Game of Thrones and Harry Potter, our content sparks

conversation and shapes culture. HBO Max delivers boundary-pushing stories

across genres and platforms, connecting millions of viewers across 90 countries

globally— and we’re just getting started. We're home to the most talked about

shows and movies, granting audiences access to the worlds of HBO, Harry Potter,

DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession

into a career— we’re hiring! About You: We are looking for a passionate Staff

Machine Learning Engineer to bridge the gap between cutting-edge ML algorithm

development and production grade, scalable software engineering for our search

and personalization systems.

In this role, you will

be the technical leader of
our engineering rigor, design the core architecture, establish engineering best
practices, create scalable MLOps pipelines, and design a codebase that allows
the team to iterate, deploy, and quickly experiment in production. You will act
as a force multiplier, elevating the software engineering capabilities of the
entire ML team.

Responsibilities

Recommendation & Search model training
architecture: Architect, build, and scale recommendation systems powering
personalization and search experiences across our streaming platforms. Codebase
Architecture: Design modular, scalable ML repositories built for rapid
iteration, fast deployment, and production experimentation. Engineering
Excellence: Establish coding standards, testing frameworks, code review
workflows, and CI/CD pipelines using open-source cloud technologies for ML and
DS workstreams. Production Velocity: Build infrastructure abstractions and
components that allow seamless transition from model training to large-scale
serving. Cross-Functional Delivery: Collaborate with other ML engineers, data
scientists and product managers, to drive complex ML projects from conception to
completion. Strategic Planning: Partner with product and engineering leadership
to define, plan, and deliver against long-term strategic goals. Culture &
Mentorship: Mentor and influence engineers across organizations by demonstrating
high-quality work, advocating for the customer, and fostering an innovative,
engineering-driven culture.

Requirements

8+ years of industry experience,
with 4+ years as tech lead experience (preferred) Deep practical knowledge in
designing scalable, production-grade Search or Recommendation systems
architecture Knowledge of large-scale distributed systems, architecture, APIs,
and databases. Solid practical understanding in modern machine learning
lifecycle, common pain-points, and research and production environments. Staff
level experience building production systems with expertise in Python/Java,
containerization, and cloud platforms. Hands-on experience with MLOps tools and
frameworks (MLflow, Kubeflow, Sagemaker, etc), or building internal systems.
Familiarity with machine learning algorithms (in particular for recommender
systems) is a strong plus 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 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 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: $187,670.00 - $348,530.00 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. 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. Warner Bros. Discovery, a premier
global media and entertainment company, offers audiences the world's most
differentiated and complete portfolio of content, brands and franchises across
television, film, streaming and gaming. The new company combines WarnerMedia's
premium entertainment, sports and news assets with Discovery's leading
non-fiction and international entertainment and sports businesses.

Which skills does this role require?

Search SystemsCI/CDAPI DesignSystem ArchitectureSoftware EngineeringAPIProduction GradeScalabilityPersonalizationHBO MaxStreamingTechnical LeadershipEngineering ExcellenceAccessibilityA/B Testing

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.