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Senior Machine Learning Engineering Manager, Ad Platforms

The Walt Disney Company
Seattle, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago
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Full Job Posting

Responsibilities and Duties of the Role:

  • Lead, mentor and guide senior individual contributors and managers across data scientists, machine learning and AI engineers teams to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection.
  • Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
  • 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.
  • 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.
  • 10+ years of relevant industry experience, with at least 5 years in people-management managing senior ICs and managers.
  • 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.
  • 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
  • Date Posted

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
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