Machine Learning Engineer

Job expired!

Machine Learning Engineer at BlackRock

About This Role

Alphagen Technology AI Solutions partners with PMG to explore new frontiers of alpha and provide scalable technology solutions to internal and external users. Our cloud-based Aladdin Alpha is the next-generation Research Platform that enables all investors, both fundamental and systematic, to make better data-driven investment decisions at scale across all asset classes. It is the market’s first Whole Research Solution that encapsulates fundamental research to measure traditional financial factors and artificial intelligence capabilities to measure non-financial factors, natively integrated alongside the client’s Whole Portfolio.

We are responsible for building the AI capabilities in Aladdin Alpha, which will reinforce investment processes with machine learning, cutting-edge analytics, and collective intelligence from the BLK investment community.

Key Responsibilities

  • Build scalable ML solutions to support growth in BLK's active investment business.
  • Collaborate with partners in the strategic design process to translate business needs into AI solution architecture, working closely with architecture and platform engineering teams.
  • Contribute to ML research/PoC, working closely with data scientists.
  • Build trusted advisor relationships with internal stakeholders.
  • Evaluate and participate in key build or buy decisions for the Aladdin Alpha AI platform.
  • Drive thought leadership, identify industry and technical adoption patterns, define resolutions, and determine how to scale focusing primarily on reusability and modularity.
  • Keep abreast of recent ML developments in academia and help drive the adoption of new ML algorithms.
  • Build partnerships with universities by working on self-contained research projects with university students/professors.

What We're Looking For

  • An advanced degree in Data Science or a Quantitative Field (PhD ideally), with at least two years of experience.
  • Experience in Machine Learning Engineering.
  • Proficiency in Python programming.
  • A passion for programming: at the heart of everything we do, you must enjoy it to succeed on this team.

For New York City and California, the salary range for this position is $132,500 - $157,500. 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 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 foster 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 focus 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 united by one mission: to help 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 small and large businesses, 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. That’s why we’re committed 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, visit | Twitter: | LinkedIn: BlackRock on LinkedIn