Modelling Data Scientist, VP AI Labs

Salary: $167,500 - 225,000 per year Requirements: We need a PhD in a quantitative discipline such as machine learning, artificial intelligence, mathematics, statistics, economics, computer science, physics, engineering, or a related area, plus at least 4 years of professional experience, or an MS in a quantitative field plus 7+ years of professional experience in machine learning, artificial intelligence, or broader AI/data science and agent development work. We need strong Python programming skills. We need a solid theoretical foundation and practical experience applying AI, machine learning, optimization, or statistical methods. We need experience evaluating machine learning methods and agentic systems, including benchmark design, metric development, and statistically rigorous measurement of quality, safety, and reliability. We need the ability to work effectively in a team and communicate across cross-functional groups. We value depth in one or more relevant research areas such as LLM reasoning, reinforcement learning, machine learning, statistical modeling, or quantitative optimization. We value academic publications, preprints, or open-source contributions. We value experience building and deploying AI agents and agentic workflows using frameworks such as LangGraph, Pydantic AI, OpenAI Agents SDK, or comparable tools and platforms such as Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK, and MCP. We value experience with retrieval systems for agents, including retrieval-augmented generation, embedding models, vector databases, and long-term memory. We value experience with machine learning libraries such as PyTorch, cloud platforms such as AWS, Azure, or GCP, and the analysis of financial or economic data. Responsibilities: We will have you own the delivery of major AI Labs projects and strategic initiatives. We will have you partner with stakeholders to turn business needs into clearly defined AI and ML solutions. We will have you design, build, and assess AI agents and agentic workflows, including tool use, memory, and multi-step reasoning over large, complex datasets. We will have you rapidly prototype agent-based solutions using advanced AI/ML tools, agent frameworks, orchestration platforms, and foundation model APIs. We will have you collaborate with engineers and stakeholders to deliver production-ready solutions that are dependable, scalable, and aligned with firm-wide processes, including observability, guardrails, and evaluation pipelines. We will have you define and maintain evaluation frameworks to measure agent quality, safety, and reliability in production. We will have you communicate technical work clearly to senior leaders and broader audiences, and help build thought leadership through white papers, publications, and presentations. We will have you manage the full solution lifecycle, from early scoping and research through prototyping, scaled implementation, productionization with engineering, and internal review. Technologies: AI AI Agents AWS Azure Cloud Embedding Models GCP Support LLM Machine Learning MCP PyTorch Python REST More: We are BlackRock, and our AI Labs organization sits at the center of our firms AI transformation. Our team combines science and engineering to tackle some of the most consequential challenges in financial services, working across investments, client experiences, operations, risk, and product innovation. We build and deploy AI solutions at scale, from generative AI systems and intelligent agents to predictive analytics, optimization engines, and enterprise AI platforms. Our offices are in New York, Edinburgh, Atlanta, San Francisco, and Seattle. We offer a broad benefits package that includes a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, Flexible Time Off, annual discretionary bonus eligibility, leave benefits, and retirement benefits. We operate a hybrid work model requiring at least four days in the office each week, with one day working from home, and we are committed to collaboration, apprenticeship, performance, innovation, and a supportive workplace where our colleagues can thrive. last updated 37 week of 2026