Lead Machine Learning Engineer - Infrastructure

Job Summary :

As a core contributor within our Machine Learning (ML) organization, you will lead the research, development, deployment, and optimization of ML applications, collaborating closely with cross-functional teams including Engineering, Product, Data, and Editorial. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. In addition to execution, you will contribute to the ML Lab team’s broader mission : enabling the use of machine learning across heterogeneous environments and at every stage of a project’s lifecycle—from ad-hoc exploration to robust production deployment. This includes partnering with engineering and service teams to :

• Drive infrastructure innovation for scalable learning, inference, and monitoring
• Provide ML consultancy and mentorship
• Conduct in-depth data exploration and analysis

Responsibilities :

Basic Qualifications :

Preferred Qualifications :

The hiring range for this position in New York or Seattle is $175,800 to $235,700 per year, in San Francisco is $183,700 to $246,400 per year, and in Los Angeles is $167,700 to $224,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and / or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits, dependent on the level and position offered.