BlackRock Summer Internship – Engineer AI Labs

Website BlackRock

Job Description:

AI Labs has offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertise 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.

Job Responsibilities:

  • Advise data scientists and researchers on product architecture and system design, and collaborate on complex deliverables
  • Write quality maintainable code that is comprehensively tested and fit for the intended objective
  • Design and deliver secure and scalable solutions to enable the rapid delivery of machine learning products to production environments
  • Provide ongoing maintenance and support for internal tools and services, including troubleshooting and resolution of production incidents
  • Continuously improve existing products, tools, and services, by maintaining close relationships with data scientists, researchers, and other BlackRock users
  • Participate in team agile processes, and proactively contribute to team culture

Job Requirements:

  • Experience building cloud native applications
  • Great problem-solving and communication skills
  • Strong programming language skills in Python and SQL
  • 3+ years of experience shipping code to production environments
  • ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte)
  • Networking and security protocols, load balancers, API Gateways
  • Data modeling, and strategies for cleaning and validating data at scale
  • Knowledge And Experience We Are Looking For Includes
  • Performance tuning on RDBMS or Big Data tools for row- and column-oriented use-cases
  • DevOps automation, idempotent deployment testing, and continuous delivery pipelines

Job Details:

Company: BlackRock

Vacancy Type: Full Time

Job Location: Palo Alto, CA, US

Application Deadline: N/A

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