Overview
Skills
Job Details
Location: Remote
Client Industry: Entertainment
Position Type: Full-time
Job Description:
Design, build, and maintain robust machine learning models that drive interactive and personalized guest experiences across digital platforms.
Develop end-to-end AI pipelines using Python, leveraging popular frameworks such as TensorFlow, PyTorch, or scikit-learn.
Integrate machine learning models and AI services into scalable production systems using Typescript for backend and frontend applications.
Architect and maintain data storage solutions using PostgreSQL, ensuring efficient data access, security, and reliability.
Collaborate with creative teams, UX designers, and engineers to prototype and deliver innovative, story-driven applications powered by artificial intelligence.
Develop RESTful and GraphQL APIs that serve AI models and support seamless integration with existing infrastructure.
Implement robust monitoring, logging, and testing procedures to ensure the reliability and performance of deployed AI solutions.
Continuously research and evaluate new machine learning algorithms and emerging technologies to enhance storytelling toolkit.
Document code, model architectures, and technical decisions to facilitate knowledge sharing and team collaboration.
Champion best software development practices, including code reviews, agile methodologies, and automated deployment pipelines.
Contribute to data governance efforts, ensuring compliance with privacy regulations and responsible AI standards.
Mentor junior developers and provide technical guidance to cross-functional teams as needed.
Basic Qualifications
Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related technical field.
2+ years of professional experience building and deploying machine learning solutions.
Strong programming skills in Python (required) with proficiency in ML libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
Experience developing production-quality software with Typescript (Node.js and/or frontend frameworks such as React, Angular, or Vue).
Hands-on experience with PostgreSQL, including schema design, query optimization, and best practices for storing ML data and model artifacts.
Demonstrated ability to integrate machine learning models into scalable web applications and APIs.
Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure) for ML model deployment, CI/CD pipelines, and scalable infrastructure.
Strong understanding of software engineering principles, version control, and agile development cycles.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical partners.
Passion for storytelling, immersive experiences.
Preferred Qualifications:
Advanced degree (Master s or Ph.D.) in a quantitative field.
Experience with real-time data processing, streaming analytics, or event-driven architectures.
Proficiency in additional backend languages such as Go, Java, or C++.
Familiarity with containerization (Docker, Kubernetes) and microservices architectures.
Experience with front-end development, UI/UX prototyping, or interactive media (especially using Typescript frameworks).
Knowledge of data privacy, security best practices, and ethical considerations in AI.
Exposure to computer vision, natural language processing, or reinforcement learning.
Prior experience working in themed entertainment, gaming, or creative technology industries.
Open source project contributions or publications in the field of AI/ML.
What You ll Get to Do:
Prototype cutting-edge AI-powered characters, rides, and attractions that captivate millions of guests worldwide.
Work side-by-side with clients' legendary Imagineers to bring iconic stories to life through technology.
Shape the future of themed entertainment using advanced data science, machine learning, and software engineering.
Enjoy a collaborative, creative, and inclusive work environment that values innovation, diversity, and professional growth.
Participate in internal hackathons, research symposiums, and workshops to stay at the forefront of technological advancements.
Present your work to technical and creative leadership, with opportunities to impact high-visibility projects across the organization.