Machine Learning Engineer

Summary

Join NBCUniversal's Data & Analytics team as a Machine Learning Engineer to build the next generation of analytics solutions and ML pipelines. You will drive end-to-end MLOps development, establish best practices for ML models, and partner with various teams to optimize performance and scale. This role requires expertise in designing data science solutions, strong technical skills, and experience with cloud-based big-data technologies. You will mentor peers and contribute to a comprehensive set of tools and standards. The position offers a competitive salary, comprehensive benefits, and the opportunity to work remotely.

Requirements

• Strong understanding of applied statistics and machine learning algorithms, experience in methodologies for regression, classification, clustering, and causality
• 8+ years of data science experience, with demonstrated proficiency using SQL and Python in building analytical solutions
• 3+ years of experience building production-deployed, well-monitored MLOps solutions to solve business problems, with particular preference for the media industry
• Experience in AutoML, NLP, and Deep Learning frameworks that enrich MLOps efficacy
• Intimate familiarity with ML architectures (e.g., MLflow) and workflows on the cloud (i.e., AWS, GCP, Azure)
• Hands-on experience with Snowflake, Databricks, Spark, Airflow, or related cloud-based big-data storage and orchestration technologies
• Bachelor's/Master’s degree – or equivalence with experience – in Computer Science, Data/Decision Science, Data Engineering, Quantitative Economics, or Mathematics

Responsibilities

• Drive end-to-end MLOps development to create scalable production ML pipelines (e.g., feature creation, training, and inference) for various lines-of-business, inclusive of Consumer, Film, Streaming, and Ad Sales. These automated products will aid in the timely decision-making process for marketing, strategy, and targeted advertising
• Establish best practices for engineering, monitoring, operationalizing, and improving automated ML models and APIs, with consideration for the levels of user expertise, cloud ecosystem capabilities, and transferrable standards
• Lead the prototype, architecture, and selection of ML and Data Science platforms, cognizant of the varied levels of user expertise, technical capabilities, and trends
• Partner closely with business, product owners, engineering, and data science teams to implement design patterns that optimize performance, cost, security, and scale, and that complement company-wide architectural standards
• Support advanced analytics efforts and deep-dive analysis to answer specific business questions, and develop augmented-analysis tools to enable efficient business decisions
• Mentor and guide engineering and data science peers in building a comprehensive set of tools, knowledge, and standards that can be democratized across the organization

Preferred Qualifications

• Direct experience working with media/entertainment and ad sales datasets and platforms is a plus – Nielsen, comScore, FreeWheel, mParticle, and Salesforce
• Ability to report and demonstrate model-development progress to stakeholders by visualizing results and communicating plans, benchmarks, and improvements
• Strong understanding of Agile principles and best practices, including CI/CD principles
• Comfortable with ambiguity and making decisions in a dynamic, fast-paced environment
• Excellent verbal and written skills with the ability to communicate data stories effectively across all levels of the organization, both technical and non-technical

Benefits

• Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence
• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks
• Salary range: $130,000 - $170,000 (bonus eligible)