Lead Machine Learning Engineer (Artificial Intelligence Engineer) jobs in United States
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ESPN · 7 months ago

Lead Machine Learning Engineer (Artificial Intelligence Engineer)

The Walt Disney Company is a leading diversified international family entertainment and media enterprise. As a Lead Machine Learning Engineer, you will be responsible for developing AI-driven solutions, maintaining production AI systems, and collaborating with teams to enhance Disney’s streaming and digital products.

BroadcastingFilm Production

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

Qualification

LLM solutionsPythonSQLData ScienceData wranglingPandasNumPyMySQLPostgreSQLSparkDatabricksSnowflakeAirflowJupyterGitHubAmazon Web ServicesTableauPower BIAnomaly detection models

Required

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

Preferred

Experience working with Amazon Web Services
Experience with Tableau, Power BI, or similar platforms
Experience building anomaly detection models

Benefits

Medical
Financial
Long-term incentive units
Bonus

Company

ESPN is a broadcasting company.

Funding

Current Stage
Late Stage

Leadership Team

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Chuck Pagano
Executive Vice President of Technology and CTO (retired)
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Rob Gallo
VP Human Resources Business Partner
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