Senior Machine Learning Engineer, Warner Bros Discovery

• Bachelor’s degree in computer science, machine learning or related technical fields
• 8+ years of industry experience, with 6+ years of relevant machine learning experience
• 1+ years of experience as a tech lead driving large projects from idea to production while working with a wide set of stakeholders
• 5+ years of programming experience with Python, Go, Java or similar
• Experience in Machine Learning, NLP, Recommendation/ Ranking Systems/ Search and applying these techniques at scale
• Experience with ML packages such as PyTorch, Tensorflow, and Scikit-Learn
• Experience with SQL and database systems such as Snowflake and DynamoDB
• Experience in the training, evaluation, productionalization, tuning and monitoring of ML solutions at scale
• Experience designing and running A/B tests at scale
• Excellent written and verbal communications skills, be comfortable presenting to large audiences

Desirable

• The Machine Learning team at CNN Digital is dedicated to research, build and evaluate Machine Learning and AI capabilities at CNN
• The team is comprised of talented ML Engineers, Data Scientists and ML Platform Engineers.
• Our current ML products include Article recommendations, Video recommendations, Related Content recommendations, and Search – serving millions of CNN users via CNN web and mobile apps
• Lead the design, research, modeling, engineering, and evaluation of ML models and systems at CNN
• Use and build upon open-source Machine Learning models/ projects/ research papers in Natural Language Processing (NLP), Embeddings, Recommendation systems, Ranking systems, and more
• Lead the exploration, evaluation, prompt-engineering and fine-tuning of Large Language Models (LLMs) for CNN use-cases
• Collaborate with ML Platform engineers and leaders to improve model training, deployment and inference at scale
• Author, test, review, and optimize production-level code while executing best practices in version control and code integration
• Mentor and influence engineers across organizations and lead by example with your work
• Collaborate with data scientists, engineers, product teams, editorial teams and other key stakeholders and drive ML projects from business problem to completion
• Support Engineering and Product leaders in strategic planning and demonstrate good judgment in setting and delivering strategic goals for the team
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers