Senior Machine Learning Engineer, Video AI, Vision & Creative Systems

Warner Bros. Discovery

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$155,120–$288,080 / yr
Posted
6 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $222k
$139k most similar roles pay here $304k

This role pays less than 52% of similar roles. Most pay $184,031–$249,750 — the shaded band above. At the midpoint, this role pays about $222k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 63 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 44 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Senior Machine Learning Engineer, Video AI, Vision & Creative Systems

As a Senior Machine Learning Engineer at HBO Max’s Video AI team, you will design and deploy advanced machine learning models for large-scale video understanding and creative workflows, integrating cutting-edge technologies like computer vision and multimodal learning into real-world systems used by engineering, product, and creative teams. Your daily tasks include developing capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement, while working across the full ML lifecycle from data processing to production deployment. You will collaborate closely with cross-functional partners to build scalable solutions for processing vast volumes of video content, requiring expertise in deep learning frameworks like PyTorch and TensorFlow, proficiency in Python, and a solid understanding of multimodal systems and state-of-the-art models.

What you'll do

  • Design, build, and deploy machine learning models for video understanding and multimodal systems.
  • Develop capabilities for creative workflows involving VFX, storyboarding, and color grading.
  • Work across the full ML lifecycle from data processing to production deployment.
  • Improve model quality through fine-tuning and modern vision/language techniques.
  • Contribute to scalable systems for large-scale video content processing and understanding.

What we're looking for

  • 4+ years of experience in machine learning with a focus on computer vision or video
  • Master’s or PhD in Computer Science, Machine Learning, or related field
  • Strong programming skills in Python and deep learning frameworks (PyTorch/TensorFlow)
  • Experience with multimodal systems and state-of-the-art image/video models
  • Ability to implement algorithms from recent research and build end-to-end ML pipelines
  • Familiarity with large-scale datasets and distributed systems
  • Strong collaboration and communication skills across technical and non-technical teams

More like this

Similar roles

Senior Machine Learning Engineer, Video Quality Systems

Apple Inc

Cupertino, CA 66 days ago $181,100$318,400
Python MATLAB R OpenCV ITU-T standards VQA metrics HVS principles Psycho-visual experiments Statistical analysis Data modeling Algorithm architecture Video processing pipelines Compression standards Enhancement algorithms Technical writing Cross-functional collaboration

Senior Machine Learning Engineer, Perception & Embodied AI

General Motors (GM)

Remote (Atlanta) +5 100 days ago $170,600$261,300
PyTorch TensorFlow Python Computer Vision Deep Learning Data Mining Multi-Modal Sensor Fusion Real-Time Systems Embedded Systems Model Optimization Metric Definition System Integration LiDAR Camera Radar Transformer Models CVPR ECCV ICCV NeurIPS
Remote Hybrid

Senior Machine Learning Engineer, AI Foundations

Capital One Financial

McLean, VA +1 19 days ago $161,800$184,600
Python Scala Java scikit-learn PyTorch Dask Spark TensorFlow Kubernetes AWS CI/CD PostgreSQL Redis Git Jupyter Notebook Docker Prometheus Grafana