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 firmwide 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.
We are a hybrid research and product team and have a responsibility to 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 30 data scientists and data engineers. Working collaboratively the team is multidisciplinary 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 realtime data.
AI Labs has offices in New York Palo Alto Edinburgh Atlanta and Seattle. The team has several Stanford professors as senior advisors with worldclass expertise in machine learning statistics optimization and stochastic control. These advisors include AI Labs cohead Stephen Boyd (Samsung Professor of Engineering at Stanford) Emmanuel Candes Trevor Hastie and Mykel Kochenderfer who dedicate time in our Palo Alto office and provide advice and guidance for all members of the global team.
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:
3 years of experience shipping code to production environments
Strong programming language skills in Python and SQL
Experience building cloud native applications
Great problemsolving 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 columnoriented usecases
Telemetry and related tools (metrics event logging tracing etc.
Accelerated compute infrastructure (GPU TPU Inferencia etc.
Training and finetuning neural networks and Gen. AI models
Ability to traverse full stack
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 wellbeing; 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
BlackRocks 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.
About BlackRock
At BlackRock we are all connected by one mission: to help more and more people experience financial wellbeing. Our clients and the people they serve are saving for retirement paying for their childrens educations buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed valued and supported with networks benefits and development opportunities to help them thrive.
For additional information on BlackRock please visit @blackrock Twitter: @blackrock LinkedIn:www.linkedin/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age disability race religion sex sexual orientation and other protected characteristics at law.
Software Engineer AI Labs Associate
