Job Description
The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project / product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data.AI Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertibahnse in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our Palo Alto office and provide advice and mentorship for all members of the distributed team.In this role, you can expect to:Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environmentsContinuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock usersWrite quality maintainable code that is comprehensively tested and fit for the intended objective
Responsibilities + Skills
Education
ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte)Data modeling, and strategies for cleaning and validating data at scale
Experience
Experience building cloud native applicationsGreat problem-solving and communication skills