23 hours ago
Westlake, TX, USAStaff+
Responsibilities
- Build and deploy machine learning solutions in production environments.
- Apply embeddings, semantic similarity, recommendation systems, search technologies, and graph intelligence to business problems.
- Leverage large language models, retrieval-augmented generation, and emerging AI capabilities.
- Develop scalable applications and services using Python.
- Design APIs and reusable AI services.
- Partner with data scientists and engineering teams to deliver reliable and secure production solutions.
- Help develop Fidelity’s workforce intelligence platform connecting workforce data, skills, experiences, organizational relationships, and AI capabilities.
Requirements
- Deep expertise in machine learning and software engineering.
- Experience developing and deploying production-grade AI solutions.
- Experience with embeddings, semantic similarity, recommendation systems, search technologies, graph intelligence, LLMs, and retrieval-augmented generation.
- Experience developing scalable Python applications and services and designing APIs.
- Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, Statistics, Physics, or another quantitative scientific discipline.
- Workforce, talent, HR, or enterprise analytics experience is preferred.
- An advanced degree is a plus.
Benefits
- Fidelity is transitioning toward a full-time onsite working model through a phased rollout; onsite expectations vary by region and role and may evolve.
- The role is part of Fidelity’s People Analytics and Insights organization, which partners with HR, business leaders, and technology teams.
Tech Stack
Categories
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.