Machine Learning Engineer

Kensho is seeking a mid-to-senior level Machine Learning Engineer to help elevate and streamline our ML development lifecycle. The ideal candidate will have 3+ years of industry experience with machine learning, NLP, and information retrieval systems, and will be responsible for developing advanced ML systems, building retrieval-driven AI agents, and evaluating LLM-based agents.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• 3+ 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
• Experience working with RAG based system (preferred)

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