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About this role

Company: BlackRock Financial Management, Inc.

Job Title: Vice President, Machine Learning Engineer

Job Duties: Analyze, manipulate, or process large sets of data using statistical software, artificial intelligence (AI), and machine learning. Develop AI-based solutions to solve a diverse set of business use cases using State-of-the-Art (SOTA) neural networks. Apply different areas of AI/ML such as Natural Language Processing, Reinforcement Learning, Computer Vision, etc. to solve different business challenges. Create scalable, reusable, and modular software and solutions using end-to-end Machine Learning Operations (MLOps) techniques. Apply feature selection algorithms to models to predict future outcomes of interest such as stock returns, or explain past outcomes of interest such as portfolio performance attribution. Clean and manipulate raw data using Data Science (DS) techniques and software. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. Collaborate with all partners in the strategic design process and translate business needs into AI solution architecture design working closely with architecture and platform engineering teams. Contribute to ML research and Proof-of-Concepts working closely with data scientists. Evaluate and participate in key build or buy decision for the Aladdin AI Platform. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. Design surveys, opinion polls, or other instruments to collect data. Identify business problems or management objectives that can be addressed through artificial intelligence and machine learning. Identify relationships and trends or any factors that could affect the results of research. Identify solutions to business problems using the results of data analysis. Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies. Recommend AI/ML and data-driven solutions to key stakeholders. Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. Write new functions or applications in programming languages to conduct analyses. Employer will accept graduate research experience in lieu of professional work experience.

Qualifications: Master’s degree in Engineering (any field), Computer Science or a related field and Three (3) years of experience in the job offered or as a Senior Software Engineer, Software Engineer or a related field. In the alternative, the employer will accept a Bachelor’s degree in Engineering (any field), Computer Science or a related field and five (5) years of experience in the job offered or as a Senior Software Engineer, Software Engineer or a related field. Must have three (3) years of experience with the following: Building machine learning pipelines in academia or industry; Python; PyTorch or PT Lightning; Scikit-Kearn; Scipy; AI; NLP; Generative AI; Docker; Kubernetes; FastAPI; MLOps; Cloud Computing (Azure); and Git. Two (2) years of experience with: LLM; SLM; MLFlow or W&B; SQL; and Spark. One (1) year of experience with: TensorFlow; Responsible AI; LangChain and LangGraph; Vector DBs; and Airflow.

To apply, please click “Apply” on this webpage.

For San Francisco, CA Only the salary range for this position is USD$229,500.00 - USD$275,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, 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.

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 (http://careers.blackrock.com/) | Twitter: @blackrock (https://twitter.com/blackrock) | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. **View the** **EEOC’s Know Your Rights poster and its supplement (https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088\_EEOC\_KnowYourRights.pdf)** **and the** **pay transparency statement (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)** **.**

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected] . All requests are treated in line with our privacy policy (http://www.blackrock.com/corporate/compliance/privacy-policy#recruitment-privacy-notice) .

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.