Lead, Machine Learning Engineer

The Lead on the Machine Learning Engineering team is responsible for leading the technical direction of the Verity project as well as assisting with the prioritization and planning of required engineering work.This role is responsible for architecting the entire Verity platform. Specifically, the role is responsible for ensuring the team’s designs are of high quality, cost-effective, and highly scalable while handling millions of requests per minute and terabytes of data daily. Ensure all components are designed with high scalability and fault tolerance to serve millions of requests per minute. Design cost-efficient systems while refactoring legacy systems to reduce cost. Develop and maintain Verity’s big data infrastructure to support Customer and KPI Reporting using technologies such as Kafka, Airflow, and Spark. Keep abreast of developments in the field externally and develop any necessary internal training for the team. Drive planning and prioritization meetings with Verity stakeholders and cross-functional teams.

According to JobzMall, the average salary range for a Lead, Machine Learning Engineer in 1314 7th St, Santa Monica, CA 90401, USA is between $117,000 and $170,000 per year. The job responsibilities of a Lead, Machine Learning Engineer include developing, implementing, and evaluating machine learning algorithms, designing data pipelines, collaborating with teams to ensure successful completion of projects, and maintaining deep industry knowledge.

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