Lead the technical direction and build scalable machine learning systems for personalized, real-time news delivery across platforms.

Own complex machine learning initiatives end-to-end, from technical design through production deployment and operational excellence
Design and build infrastructure for the full ML lifecycle, including:
- Data pipelines and workflow orchestration
- Data discovery and quality tooling
- Reusable feature libraries
Deliver data and ML-driven solutions across engineering use cases, including recommendation systems, object detection, autogenerated tagging, and RAGs
Collaborate with product, editorial, and engineering stakeholders to translate business requirements into technical solutions
Prioritize technical workstreams and time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks
Promote engineering best practices across code quality, testing, CI/CD, observability, and incident response
Mentor and coach engineers to build a culture of ownership, collaboration, and continuous improvement
Contribute to technical documentation and support knowledge sharing across teams

Bachelor’s degree in computer science, Information Systems, Statistics, Math, or 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 applied to real-world engineering problems
Comfort working across the predictive stack, including data collection, data analysis, feature engineering, batch training, and low-latency online serving
Experience designing and developing backend microservices for large-scale distributed systems using REST
Cloud infrastructure experience, preferably AWS, including: Step Functions, Lambda, Glue, SQS, SNS, Personalize
Familiarity with Spark and ML pipeline development and deployment
Hands-on big data experience with Databricks, Kinesis, and Kafka
Proven leadership with coaching and mentoring skills to help teams achieve business goals
Experience with observability tools for metrics, logging, and monitoring such as Datadog
Experience working in Agile/Scrum development environments
Excellent communication skills and commitment to collaboration in a fast-paced, guest-focused environment

Lead Machine Learning Engineer - News

Job Description