The Walt Disney Company · 3 hours ago
Staff Machine Learning Engineer (AI/ML Engineer)
Seattle, WA, USA
Full-time
Hybrid
Senior Level, Lead/Staff
$180K/yr - $241K/yr
7+ years expThe Walt Disney Company is a world-class entertainment and technological leader, seeking a Staff Machine Learning Engineer to lead the development of advanced generative AI models. This role involves architecting ML solutions, mentoring engineers, and collaborating across teams to enhance consumer experiences and operational efficiency.
Amusement Park and ArcadeAnimationConsumer GoodsDigital MediaE-CommerceMedia and EntertainmentMulti-level MarketingPerforming ArtsResorts
Responsibilities
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 LangChain, 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
Qualification
Required
7+ years industry experience in machine learning, generative AI, NLP, or agent development
Deep expertise in Python and modern ML libraries (scikit-learn, TensorFlow, PyTorch)
Demonstrated experience architecting, deploying, and maintaining LLMs and generative AI models
Hands-on proficiency with agentic frameworks like LangChain, 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
Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Preferred
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
Benefits
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
Company
The Walt Disney Company
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.
10001+ employees
H1B Sponsorship
The Walt Disney Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$11BKey Investors
Citibank
2020-04-13Post Ipo Debt· $5B
2020-03-20Post Ipo Debt· $6B
1978-01-06IPO
Leadership Team
Christine M. McCarthy
Senior Executive Vice President & Chief Financial Officer
Jamie Power
SVP, Addressable Sales
Recent News
2026-01-20
Company data provided by crunchbase