AI / ML Engineer, VP

$157,500 - $214,500/Yr

BlackRock - New York, NY

Full-time - Senior

Remote - New York, NY

Funds, Trusts, and Other Financial Vehicles

About the position

The AI / ML Engineer, VP role at BlackRock involves designing and delivering secure and scalable solutions for machine learning products, enhancing existing tools and services, and collaborating with data scientists and researchers. This position is part of the AI Labs team, which focuses on leveraging artificial intelligence and data science to solve strategic business challenges and drive innovation in asset management.

Responsibilities

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

Requirements

• 4+ years experience shipping code to production environments
• Strong programming language skills in Python and SQL
• Experience building cloud native applications
• Great problem-solving and communication skills

Nice-to-haves

• DevOps automation, idempotent deployment testing, and continuous delivery pipelines
• Networking and security protocols, load balancers, API Gateways
• ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte)
• Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs)
• Data modeling, and strategies for cleaning and validating data at scale
• Performance tuning on RDBMS or Big Data tools for row- and column-oriented use-cases
• Telemetry and related tools (metrics, event logging, tracing, etc.)
• Ability to traverse full stack

Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)