Senior Machine Learning Engineer
Warner Bros. DiscoveryBase Salary
$159k - $296k/yr
Responsibilities
- Lead end-to-end development of production ML systems covering data sourcing, feature engineering, model training, evaluation, deployment, and monitoring.
- Own flagship ML products such as probabilistic identity resolution, single-title affinity, lookalike modeling, and forecasting.
- Drive architectural decisions involving feature stores, training and serving patterns, evaluation frameworks, scalability, latency, reliability, and cost.
- Design feature and inference pipelines on Databricks integrated with Snowflake and activation systems including Mosaic, FreeWheel, and Google Ad Manager.
- Develop and optimize gradient boosting, embedding, two-tower retrieval, neural ranking, probability calibration, and probabilistic or graph-based matching models.
- Design offline and online experiments and apply causal-inference techniques such as propensity scoring, uplift modeling, and incrementality modeling.
- Champion MLOps practices including model versioning, champion/challenger promotion, automated retraining, drift detection, monitoring, and reproducible pipelines.
- Shape feature-store strategy and implement data-quality checks, model-health dashboards, alerting thresholds, and FinOps cost controls.
- Use AI-assisted development tools and prototype agentic ML workflows for validation, feature selection, hyperparameter search, metadata enrichment, and content understanding.
- Configure Databricks Genie and use Snowflake Cortex for governed analytics, SQL authoring, data discovery, and RAG-based internal tooling.
- Mentor engineers, establish technical standards, coordinate with the Hyderabad team, and translate stakeholder priorities into an ML roadmap.
- Communicate model performance, technical trade-offs, and business impact to technical and non-technical stakeholders.
Requirements
- 5–8 years of industry experience in ML engineering or applied data science, or 3+ years with a Ph.D., including a track record of leading projects to production.
- Deep Python expertise and strong software engineering practices, with experience deploying ML systems at scale for millions of users or records.
- Strong proficiency with Databricks, including PySpark, Delta Lake, Workflows/DLT, MLflow, and Unity Catalog.
- Solid SQL and Snowflake experience for feature sourcing and model-output delivery.
- Experience with AWS ML services including SageMaker, S3, and Lambda.
- Strong understanding of model evaluation, A/B testing, statistical inference, and causal inference.
- Depth in one or more of recommendation systems and ranking, identity resolution, embeddings and retrieval, forecasting, or optimization.
- Demonstrated technical leadership through architectural decisions, standards-setting, mentoring, and influence across teams and time zones.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent experience.
- Excellent written and verbal communication skills for advocating technical solutions to engineers, scientists, and product stakeholders.
- Preferred experience includes recommendation systems, personalization, identity resolution, audience modeling, two-tower architectures, probabilistic matching, Data Clean Rooms, shared ML platforms, agentic AI frameworks, Databricks Genie, Snowflake Cortex, feature stores, open-source contributions, ML publications, and globally distributed team collaboration.
Benefits
- Base salary range is $159,180.00–$295,620.00 per year, with potential bonuses, incentives, and program-specific awards.
- Benefits include health insurance, an employee wellness program, life and disability insurance, retirement savings, paid holidays, sick time, and vacation.
- Warner Bros. Discovery is an equal opportunity employer and provides accommodations for qualified candidates with disabilities.
- The role is US-based and collaborates with a globally distributed team, including the Hyderabad ML team.
Categories
About Warner Bros. Discovery
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines WarnerMedia’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses. ****Please be aware of recruitment scams by individuals posing as employers and encouraging candidates to apply for, interview and/or accept nonexistent job opportunities as a means to solicit personal information or money. The online scammers have become much more sophisticated in their attempts to lure victims. Employment opportunities and job offers at Warner Bros. Discovery will always come from our Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. WBD does not extend job offers via email or on any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @wbd.com. A valid link for employment with Warner Bros. Discovery can be found at https://careers.wbd.com/global/en. If you believe you have been contacted by a scammer and may be the victim of fraud or identity theft, you should report details to the police where you live. You can also report job scams to the FTC. Learn more at https://consumer.ftc.gov/articles/job-scams. *****