Staff Machine Learning Engineer - Search

Discovery Inc.
San Francisco, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 193K

Job location

San Francisco, United States of America

Tech stack

Java
Algorithm Design
Amazon Web Services (AWS)
Azure
Computer Programming
Distributed Systems
Data Intelligence
Python
Search Algorithms
Machine Learning
Natural Language Processing
Recommender Systems
Search Technologies
SQL Databases
Model-Driven Development
Feature Engineering
Low Latency
Machine Learning Operations
Data Pipelines

Job description

  • 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

Benefits & conditions

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.

About the company

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.

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