Sr Machine Learning Engineer

• Owns the design and development of machine learning models, pipelines, and production ML systems.
• Drives development of ML components through own and other engineers’ work.
• Develops technical solutions that meet specifications and that inform future ML initiatives.
• Executes assigned ML development projects and major model improvements using new or existing technologies.
• Develops specifications for assigned ML components, projects, or model enhancements.
• Reviews and writes code for model training, evaluation, and inference pipelines.
• Participates in setting the architectural direction for ML platforms and data infrastructure.
• Designs specific ML components for assigned projects, developing specifications for each.
• Able to build and lead end-to-end ML workflows from data ingestion through model serving.
• Interacts and coordinates deliverables with data science, data engineering, and product teams across the organization.
• Designs and develops ML system specifications for assigned projects.
• Designs component tasks for assigned projects, developing ML-specific specifications for each.
• Serves as a high-level technical resource and “go-to” person for less experienced ML engineers and data scientists, providing technical guidance and oversight.
• Leads team members in problem analysis, model debugging, and issue resolution.

• 5+ years of relevant experience designing, training, and deploying machine learning models in production environments at scale.
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
• Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
• Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
• Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
• Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
• Experience with Snowflake is required., * Experience with large-scale recommendation systems, personalization, NLP, or computer vision.
• Experience with real-time ML inference and low-latency serving architectures.
• Familiarity with LLMs and generative AI integration in production systems.
• Experience with Java (e.g., Spring Boot) is a plus., * Bachelor’s degree in Computer Science, Statistics, Mathematics, or similar field, or related work experience.

The hiring range for this position in California is $144,100 - $193,200 per year, in Washington is $150,900 - $202,400 per year, and in Florida is $137,200.00-$184,000.00 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. Disclaimer

This position is with Walt Disney Attractions Technology LLC, which is part of a business we call Disney Experiences.