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Staff Machine Learning Engineer - Search

Warner Bros. Discovery

CA San Francisco 153 Kearny Street | WA Bellevue 205 108th Avenue NE, Suite S200 | NY New York 230 Park Avenue South, US$193k – $358khybrid

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About this role

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.

Staff MLE,   Search &   Personalization, Content Discovery    

Location: Seattle, San Francisco Bay Area, New York    

About You:    

We’re   looking for a   Staff Machine Learning Engineer   to lead the design and evolution of   ML and AI driven   Search   algorithms   for   our global streaming app,   HBO   Max . This role will own the end-to-end search   algorithm innovation   from retrieval and ranking to personalization and experimentation ,   impacting   how millions of users discover content globally.  

You will   operate   at the intersection of ML, systems, and   product , bringing both   deep   expertise   in search/relevance systems   and   strong technical leadership .   You’ll   help define the roadmap, drive architecture decisions, and elevate the team’s ability to build and iterate on high-quality search experiences.  

Responsibilities:    

• Lead the design and development of   large-scale   model driven   search   algorithms   including retrieval, ranking, and query understanding  

• Define and evolve the   technical strategy for search , balancing relevance, latency, and scalability  

• Drive end-to-end ML systems: data pipelines, feature engineering, model training, experimentation, and serving  

• Partner closely with product, data, and infrastructure teams to shape   and execute on   the   search roadmap and user experience  

• Mentor engineers   and data scientists   and raise the bar on   algorithm development,   system design,   ML   and   engineering practices  

• Identify   and drive high-impact opportunities across search and personalization  

• 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   

Requirements:     

• 8+ years of industry experience, with 4+ years as tech lead experience (preferred)   

• Deep   expertise   in   search and/or ranking   algorithms ( e.g., retrieval, LTR, semantic search ,   query understanding , entity recognition )  

• Strong experience building   large-scale ML systems in production  

• Proven ability to   lead technical direction and influence across teams  

• Experience with   online experimentation and metrics-driven development  

• Strong programming skills in Python ( Java/Go a plus )  

• Experience with distributed systems and cloud platforms (AWS/GCP/Azure)  

• Solid understanding of data fundamentals (SQL, pipelines, feature stores)  

• Excellent communication skills and ability to work cross-functionally  

Nice to Have  

• Experience with recommender systems or personalization  

• Experience with NLP techniques  

• Familiarity with vector search / ANN ( Faiss ,   ScaNN , etc.)  

• Experience in streaming, marketplace, or content discovery platforms    

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: $192,570.00 - $357,630.00 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.

Salary insight

The midpoint of this range ($275k) is about 38% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,174 jobs).

See full Machine Learning Engineer salary data for San Francisco

Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.

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