BlackRock's AI Labs is a central hub leveraging data science, machine learning, and generative AI to solve strategic business challenges across the firm. The team aims to revolutionize asset management by combining human and machine intelligence, driving commercial impact through alpha generation, operational efficiencies, and cost reduction. This role involves designing and delivering secure, scalable solutions for machine learning products, continuously improving existing tools, writing quality code, and providing ongoing maintenance and support. The engineer will also advise data scientists on architecture and system design, and collaborate on complex deliverables.

Must Have

• 0-2 years of experience shipping code to production environments
• Strong programming language skills in Python and SQL
• Experience building cloud native applications

Good to Have

• 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.)
• Accelerated compute infrastructure (GPU, TPU, Inferencia, etc.)
• Training and fine-tuning neural networks and Gen. AI models
• Ability to traverse full stack
• Familiarity with latest AI code generation tools is a plus

Perks & Benefits

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

About this role

AI Labs Overview:

Since our founding over 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our business better and to help clients realize the objectives they desire. At BlackRock, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. In 2018, BlackRock accelerated innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent.

AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in data science, machine learning, generative AI, optimization, stochastic control and statistics. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led by Dr. Rachel Schutt.

Our solutions drive towards commercial impact in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of demonstrating machine learning at BlackRock to create alpha, the goal is to apply these same techniques throughout the business.

The team has grown to 40+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, 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, and real-time data.

AI Labs has offices in New York, Edinburgh, Atlanta, San Francisco and Seattle.

We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock.

AI Labs aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients.

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:

• 0-2 years of 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.)
• Accelerated compute infrastructure (GPU, TPU, Inferencia, etc.)
• Training and fine-tuning neural networks and Gen. AI models
• Ability to traverse full stack
• Familiarity with latest AI code generation tools is a plus

For Atlanta, GA Only the salary range for this position is USD$99,750.00 - USD$120,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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.