Analyst, Software Engineering – AI Labs

Key Skills

Analytical and Problem solving, Apache Airflow, API, Automation, Big Data Technology, Cloud computing, Data Modeling, Design, DevOps, Effective communication skills, ETL frameworks, Machine learning techniques, Python Programming, RDBMS, Software Development, Spark Core, SQL

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 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 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

The minimum requirements for this position are:

• 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

Knowledge and experience we are looking for includes:

• 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)
• 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

#EarlyCareers

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.