About this role
Research Solutions is looking for a talented, ambitious engineer to grow and expand the Platform Engineering team. The team was created to help global research teams focus on alternative data as a new channel for insight. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. You will be responsible for aspects of the design, development, reliability, scalability, and observability of our platform
Required Qualifications:
• Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
• Programming languages (Python, R, Java)
• Deep learning, NLP, computer vision techniques
• Cloud ML platforms (AWS SageMaker, Azure ML, Vertex AI)
• MLOps tools and practices
• Statistical analysis and experimentation
For Atlanta, GA Only the salary range for this position is USD$125,000.00 - USD$170,000.00 . 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 firm, department 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 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 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
