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Manager, Machine Learning Engineering - Ad Platforms

Disney
Seattle, USA
Full-time
Manager · 8+ years experience
Onsite
Discovered 3 weeks ago
awsazuregcpjavajaxpython

Full Job Posting

Responsibilities and Duties of the Role:

  • Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection.
  • Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations.
  • Drive adoption of best practices in model development, code quality, testing, and documentation.
  • Solid understanding and usage of automated tools (AI) while adhering to company policy.
  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
  • Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling. These are expected to be aligned with the larger platform strategy and tools in collaboration with the global teams to stay consistent across Ad Platforms.
  • Foster innovation by exploring new ML techniques, tools, and technologies.
  • Communicate strategies, progress, and results to leadership and cross-functional teams.
  • Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.
  • Develop partnerships across the organization to identify and prioritize high-impact ML opportunities.
  • Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions

Basic Qualifications:

  • Bachelor’s or master’s degree in computer science, Engineering,
  • Mathematics, Statistics, or a related field.
  • 8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role.
  • Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
  • Proven experience designing, building, and deploying scalable machine learning models and systems in production.
  • Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices
  • Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face).
  • Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization)
  • Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Preferred Qualifications:

  • Domain knowledge in the Ad Tech industry
  • Experience working with large-scale data and distributed systems.
  • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines.
  • Track record of innovation and contributions to the ML/AI community (publications, talks, open source).
  • #DISNEYTECH
  • The hiring range for this position in Los Angeles, CA area is $171,600 - $230,100 per year and Seattle Area is $179,700 - $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
  • Job Posting Segment:
  • Ad Platforms
  • Job Posting Primary Business:
  • AP - Engineering
  • Primary Job Posting Category:
  • Machine Learning
  • Employment Type:
  • Full time
  • Primary City, State, Region, Postal Code:
  • Seattle, WA, USA
  • Alternate City, State, Region, Postal Code:
  • USA - CA - 2500 Broadway Street
  • Date Posted:
  • 2026-06-03

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