ENGINEERINGUK
AI / ML Engineer, VP
ENGINEERINGUK, New York, New York, us, 10261
About this role
BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock's mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients.AI Labs Overview
The 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 machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led by Dr. Rachel Schutt, and co-head Professor Stephen Boyd, Samsung Professor of Engineering at Stanford.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 utilizing data from a wide variety of sources.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 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.The minimum requirements for this position are:
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.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).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.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.About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. This mission would not be possible without our smartest investment - the one we make in our employees.BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.
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BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock's mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients.AI Labs Overview
The 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 machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to revolutionize asset management. The team is led by Dr. Rachel Schutt, and co-head Professor Stephen Boyd, Samsung Professor of Engineering at Stanford.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 utilizing data from a wide variety of sources.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 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.The minimum requirements for this position are:
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.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).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.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.About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. This mission would not be possible without our smartest investment - the one we make in our employees.BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.
#J-18808-Ljbffr