About this role Machine Learning Infrastructure Engineer, Associate BlackRock's AI Engineering team is responsible for building, growing and maintaining the firm’s multi-cloud strategy. We are looking for an ML Engineer to join our team and help enable adoption of cutting-edge technology across the firm. At BlackRock, we recognize that strength comes from diversity. Your outstanding skills, curiosity, and passion will be embraced while the firm provides you the opportunity to grow technically and as an individual. You are a strong candidate when it comes to your ability to work in an international team. You will have experience in building cloud infrastructure while keeping security, cost, performance and complexity at top of mind. With over USD $8 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing. Being a Machine Learning Infrastructure engineer at BlackRock means you get the best of both worlds: working for one of the most advanced financial companies and being part of a AI/ML team responsible for next generation technology and solutions. You are: Curious and eager to learn new things, with a healthy disrespect for the status quo. Willing to embrace work outside of your comfort zone, and open to guidance from others; you make mistakes but learn from them. Passionate about technology, with personal ownership for the work you do. Data-focused, with an eye for the details that matter to solve the problem. We are: Passionate about building quality Machine learning technology systems and infrastructure to meet the needs of tomorrow. Building solutions for BlackRock and over 100 organizations who use our technology. Developing high quality AI/ML solutions on Azure, AWS and GCP. Committed to open source and contributing back to the community. Writing testable software every day, with a focus on incremental innovation. Building scalable infrastructure solutions for ML model development, model lifecycle management, model monitoring across cloud platforms. You have: Strong programming skills in Python, SQL and Terraform. Experience of developing infrastructure and platforms to power ML at scale using infrastructure as code. Familiarity with LLM frameworks is a plus (Langchain, Haystack, or similar). Experience with Azure ML, Kubernetes, SQL and NoSQL databases. Experience with building and deploying machine learning models on Azure. Clear communication skills to collaborate with other ML engineers and Data Engineers. Ability to explain technical concepts to non-technical stakeholders. Experience in managing data projects, including planning, execution, and monitoring. 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 well-being; 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 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. About BlackRock 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. For additional information on BlackRock, please visit blackrock | Twitter: blackrock | LinkedIn:www.linkedin.com/company/blackrockBlackRock 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.
