Sr Machine Learning Engineer

Join the News ML team to build and operate machine learning platforms for real-time, personalized news experiences across web, mobile, and connected TV.

Responsibilities

• Lead complex ML initiatives end-to-end, covering technical design, production deployment, and operational excellence
• Build ML infrastructure that supports the full lifecycle, including data pipelines and workflow orchestration
• Develop data discovery and quality tooling, plus feature libraries for downstream ML use cases
• Deliver data and ML solutions across engineering needs such as recommendation systems, object detection, autogenerated tagging solutions, and RAGs
• Collaborate with product, editorial, and engineering stakeholders to convert business requirements into technical solutions
• Prioritize technical workstreams to maximize highest-impact, time-sensitive outcomes
• Identify, communicate, and mitigate risks to support successful execution
• Advance engineering best practices across code quality, testing, CI/CD, observability, and incident response
• Mentor and coach engineers to strengthen ownership, collaboration, and continuous improvement
• Contribute to technical documentation and support knowledge sharing across teams

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
• 5+ years building and operating ML engineering systems in production environments
• Expertise in data science, deep learning algorithms, or statistical methods for real-world engineering problems
• Ability to work 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 (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
• Familiarity with developing and deploying Spark and ML pipelines
• Hands-on experience with big data technologies such as Databricks, Kinesis, and Kafka
• Proven leadership, coaching, and mentoring skills, including inspiring and empowering a team toward 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

Technology

• REST
• AWS: Step Functions, Lambda, Glue, SQS, SNS, Personalize
• Spark
• Databricks
• Kinesis
• Kafka
• Datadog
• CI/CD
• RAGs
• Object detection
• Recommendation systems

Benefits

• Bonus and/or long-term incentive units may be provided as part of the compensation package
• Full range of medical, financial, and/or other benefits

Location: New York, NY (onsite)

Compensation: USD 148,700 - 199,400 per year