Kensho is S&P Global's hub for AI innovation and transformation. We are seeking a Senior ML Engineer to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Link. As a Senior ML Engineer, you will work across a broad set of machine learning areas at Kensho, creating reliable, scalable, and transparent ML solutions that deliver real value to users.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- 5+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems.
- Strong proficiency in Python.
- Experience reading and understanding SQL databases and writing queries for specific access patterns.
- Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
- Demonstrated effective coding, documentation, collaboration, and communication habits.
- Strong problem-solving skills and a proactive approach to addressing challenges.
- Ability to adapt to a fast-paced and dynamic work environment.
- Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain.
- Preferred experience working with RAG-based systems.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.