Machine Learning Engineer; AI​/ML Engineer

Job Posting Title

Staff Machine Learning Engineer (AI/ML Engineer)

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world‑class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses.

Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross‑company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

The AI Engineering team builds ML solutions that enable creativity, personalization, and operational excellence across the company. You’ll be part of a team that values innovation, agility, and impact—where your work directly contributes to the future of entertainment.

• Architect, design, and oversee the implementation of advanced ML solutions, including generative models and intelligent agents.
• Lead the creation, deployment, and ongoing enhancement of agents using agentic frameworks such as Lang Chain, ADK, Strands, and emerging technologies.
• Build scalable platforms for conversational AI, automation, and personalized guest experiences.
• Drive strategy and best practices for prompt engineering, model fine‑tuning, orchestration, and agent reliability.
• Mentor, coach, and provide technical guidance to junior and mid‑level engineers, fostering a culture of innovation and excellence.
• Partner with product, engineering, and research teams to define AI/agentic roadmaps and deliver business‑impactful solutions.
• Lead end‑to‑end model lifecycle: data acquisition, preprocessing, model selection, training, evaluation, and deployment.
• Ensure robust documentation and reproducibility across models, agents, and workflows.
• Set standards for safety, privacy, responsibility, and ethical use of AI/agents.
• Track and evaluate new trends, tools, and frameworks in the rapidly evolving generative AI and agentic ecosystem.
• Present findings, strategies, and technical insights to leadership and stakeholders.

• 7+ years industry experience in machine learning, generative AI, NLP, or agent development.
• Deep expertise in Python and modern ML libraries (scikit‑learn, Tensor Flow, PyTorch).
• Demonstrated experience architecting, deploying, and maintaining LLMs and generative AI models.
• Hands‑on proficiency with agentic frameworks like Lang Chain, ADK, Strands, or equivalent.
• Proven ability designing and orchestrating agentic workflows and multi‑agent systems.
• Experience developing, deploying, and managing ML solutions on cloud platforms (AWS, GCP, Azure).
• Strong collaborator and communicator experienced in leading cross‑disciplinary teams.
• Familiarity with responsible AI practices, compliance, and security requirements.
• Git, Docker, CI/CD, and software best practices.

• Record of publications, patents, or open‑source contributions related to generative AI, LLMs, or intelligent agents.
• Experience integrating agent‑based systems into consumer applications at scale.
• Background in recommender systems, personalization, or conversational interfaces.
• Solid understanding of reinforcement learning, RLHF, or related agent learning paradigms.
• Experience with large‑scale data pipelines and ML platform engineering.

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

• Advanced degree (Master’s/PhD) in Computer Science, Engineering, Mathematics, or comparable field of study

#DISNEY TECH

The hiring range for this position in Seattle, WA is $179,700 to $241,000 per year. 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.

Enterprise Technology

Cloud & Data Transformation Engineering

Machine Learning

Full time

Seattle, WA, USA