Artificial Intelligence Engineer, Portfolio Management Group, Associate

Bachelor's or Master's degree in Computer Science/Engineering or related field.

4+ years of relevant experience.

Good understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory.

Knowledge of at least one of the following domains: generative AI, statistical learning, optimization, NLP, deep learning or time series analysis.

Should have strong proficiency in the following

Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, LlamaInde

Data & Storage: large‐scale distributed data analytics engines, Pandas, Snowflake, FAISS, Pinecone, Chrom

Familiarity with cloud platforms (GCP, Azure, AWS

Proficiency in version control systems (e.g., Git/GitHub).

Strong analytical thinking skills with an ability to creatively solve business problems, innovating new techniques as needed.

Excellent verbal and written communication skills.

Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones

Passion for solving interesting and relevant real-world problems in Finance using a data science and AI approaches.

Prior experience in financial services or large-scale enterprise systems is a plus.

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.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients.

We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment.

To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

Our clients, and the people they serve, are saving for retirement, paying for their children’s 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.

It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com.

We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an Equal Opportunity Employer.

We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.