Senior Machine Learning Engineer
Warner Bros. Discovery
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $124,110 - $230,490 per year
Job Level
Senior
Tech Stack
AWSCloudPythonPyTorchSparkSQLTensorflow
About the role
- Design and implement machine learning models for audience intelligence applications, including lookalike and predictive audience generation, user behavior modeling, ML forecasting, ML-based ID resolution, and ML-based user base characterization for HBO Max
- Architect, build, and maintain complete ML pipelines from data ingestion and processing to model deployment and monitoring in production environments
- Develop robust, scalable infrastructure and automated workflows for ML training, evaluation, and deployment
- Work closely with product, engineering, and business stakeholders to translate requirements into effective ML solutions
- Guide and mentor junior engineers and scientists
- Ensure robust model deployment, monitoring, and optimization to meet business requirements for latency, concurrency, and reliability
- Promote best practices around MLOps among broader data science groups
Requirements
- PhD or MSc in Machine Learning, Computer Science, Data Science, or a closely related field
- 3+ years (PhD) or 5+ years (MSc) of hands-on experience in machine learning engineering, including model development and production deployment
- Proficient in Python and ML frameworks such as PyTorch, TensorFlow, MLflow, and SageMaker
- Expert on SQL and large-scale data processing languages
- Proven track record of deploying ML models to production
- Familiarity with distributed computing systems (Spark, EMR)
- Experience with cloud platforms (AWS, Databricks, Snowflake)
Benefits
- health insurance coverage
- an employee wellness program
- life and disability insurance
- a retirement savings plan
- paid holidays and sick time
- vacation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel developmentproduction deploymentdata ingestiondata processingML pipelinesMLOpslarge-scale data processingPythonSQL
Soft skills
mentoringcollaborationcommunicationproblem-solvingleadership
Certifications
PhD in Machine LearningMSc in Machine LearningData Science