Lead Machine Learning Engineer, News

What you'll do

• Own complex technical initiatives from initial design through production deployment and operational excellence.
• Design and develop infrastructure for data pipelines, workflow orchestration, and feature libraries.
• Develop ML-driven solutions for recommendation systems, object detection, autogenerated tagging, and RAGs.
• Translate business requirements from product and editorial stakeholders into robust technical solutions.
• Prioritize technical workstreams to deliver high-impact outcomes while proactively mitigating project risks.
• Champion engineering best practices including code quality, testing, CI/CD, and observability.
• Mentor and coach engineers to foster a culture of ownership and continuous improvement.

What we're looking for

• Bachelor’s degree in computer science, Information Systems, Statistics, Math, or a comparable field of study, and/or equivalent work experience.
• 7+ years of software engineering experience.
• 5+ years of hands-on experience developing and deploying machine learning systems in production.
• Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems.
• Experience designing and developing backend microservices for large-scale distributed systems using REST.
• Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) (preferred).
• Hands-on experience with big data technologies such as Databricks, Kinesis, and Kafka.
• Proven leadership, coaching, and mentoring skills with the ability to inspire and empower a team.