Machine Learning Operations Engineer I (AI)

Location: Remote work is available only from the United States; travel to the Cambridge, MA or New York City hubs is required at times for team meetings and company events.

Base salary: $120,000–$140,000 per year, plus annual incentive bonus and equity eligibility.

Company

Kensho is S&P Global’s AI innovation hub, developing machine learning, natural language processing, data discovery, and business and financial generative AI solutions.

What you will do

• Build tools, services, and frameworks that make ML workflows robust, auditable, and usable.
• Work with ML engineers to identify workflow pain points and improve developer experience.
• Develop scalable automation for model fine-tuning, reinforcement learning, and LLM and agent evaluation.
• Evaluate and integrate open-source and third-party tools into the ML platform.
• Improve observability for production LLM and agentic applications, including detection of performance decay and drift.
• Track emerging tools and frameworks and promote engineering best practices across teams.

Requirements

• At least 1 year of experience in ML infrastructure, MLOps, ML engineering, or a similar area.
• Experience with Kubernetes and understanding of AWS cloud platforms, including EKS, Bedrock, and SageMaker.
• Proficiency in Python and familiarity with software engineering practices in an ML context.
• Basic understanding of machine learning concepts, LLMs, and agents.
• Ability to debug distributed systems across infrastructure, networking, and application layers.
• Strong communication skills and willingness to collaborate across multiple engineering teams.

Nice to have

• Experience with Ray, Airflow, distributed computing, or workflow orchestration.
• Experience with agentic AI systems, MCP server patterns, or evaluation pipelines.

Culture & Benefits

• Autonomous, collaborative environment focused on open communication, engineering best practices, and continual learning.
• Medical, dental, and vision insurance with company-paid premiums.
• Unlimited paid time off and 26 weeks of fully paid parental leave.
• 401(k) plan with 6% employer matching and charitable donation matching.
• Tuition assistance of up to $20,000 for degree programs and up to $4,000 annually for professional education.
• Mentoring, conference participation, catered lunches, and additional employee leave programs.