Lead Machine Learning Engineer – Artificial Intelligence Engineer
Company | The Walt Disney Company |
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Location | Seattle, WA, USA, Santa Monica, CA, USA, San Francisco, CA, USA, New York, NY, USA |
Salary | $167700 – $246400 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; PhD is a plus.
- 7+ years of experience in a technology role.
- 2+ years of hands-on experience building, deploying, and evaluating LLM based solutions. 5+ years engineering experience
- Proficiency in Python, SQL, and other relevant programming languages.
- Experience with data wrangling and analysis tools such as Pandas, NumPy, and working knowledge of databases like MySQL and PostgreSQL.
- Familiarity with big data and workflow platforms, including Spark, Databricks, Snowflake, Airflow, Jupyter, and GitHub.
- Excellent problem-solving abilities, with strong communication and collaboration skills.
Responsibilities
- Rapidly analyze and prototype AI-driven solutions that address key pain points for both customers using self-service systems and customer service (CS) agents interacting with internal tooling.
- Own and maintain production AI systems, including those leveraging large language models (LLMs); this includes optimization, fine-tuning, and debugging to ensure robustness and performance at scale.
- Bridge customer support needs with commerce platform capabilities, identifying which problems can be solved using existing infrastructure and which require new AI-powered solutions.
- Assess the effectiveness of deployed AI solutions through a data-driven lens, continuously iterating on what works and sunsetting or replacing what doesn’t deliver meaningful impact.
- Collaborate with other AI-focused teams across Disney Streaming, sharing innovations and adopting best practices to drive consistency, scalability, and impact in AI initiatives.
Preferred Qualifications
- Experience working with Amazon Web Services.
- Experience with Tableau, Power BI, or similar platforms.
- Experience building anomaly detection models.