Manager, Machine Learning Engineering

Warner Bros. Discovery

Manager of Machine Learning Engineering leading a team of applied data scientists at Warner Bros. Discovery.

Posted 6/18/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead end-to-end design and delivery of production-grade Gen AI based Media processing systems that supports language localization capabilities like Closed Captioning, Language translation, or Dubbing.
Lead data science experimentation by designing experiments, defining success metrics, iterating on model improvements, and transitioning validated approaches into scalable production ML pipelines.
Establish and operate robust production evaluation frameworks, covering model quality, drift detection, inference performance, and system-level metrics with and without ground truth.
Lead, mentor, and grow a team of Applied data scientist, Machine Learning Engineers, setting clear technical direction, delivery standards, and career development paths.
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

What you’ll need

12-15 years total experience with 3+ years of leading and managing a software development team (providing coaching, mentoring, setting goals, and recruiting talent)
Experience in designing machine learning driven, large-scale distributed systems with large scale customer base
Good practical knowledge in modern machine learning lifecycle.
Ability to technically collaborate with partners
Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
Experience with one of the cloud platforms AWS/GCP/Azure
Good understanding of machine learning platform
Preferred: Hands-on experience with Computer Vision, ASR, Translation or Text-to-Speech technologies.
Working experience with global teams
Data Modeling experience
PhD, or Master's degree in CS, CE, ML or related fields.
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Benefits

Comp & perks

A Great Place to work.
Challenging ML problems in Media Domain.
Equal opportunity employer
Fast track growth opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata sciencelarge-scale distributed systemsdata modelingcomputer visionautomatic speech recognitiontranslation technologiestext-to-speech technologiesproduction ML pipelinesmodel evaluation frameworks

Soft Skills

leadershipmentoringcoachingcommunicationcollaborationteam motivationinnovationgoal settingcareer developmentcustomer advocacy

Certifications

PhDMaster's degree