
Machine Learning Operations Engineer I
S&P Global5 days ago
Base Salary
$120k - $140k/yr
Responsibilities
- Develop tools, services, and frameworks that make ML workflows robust, auditable, and usable.
- Partner with ML engineers to identify workflow pain points and improve developer productivity.
- Build scalable automated processes for model fine-tuning, reinforcement learning, and LLM or agent evaluation.
- Improve observability for production LLM and agentic applications, including detection of performance decay and drift.
- Evaluate, integrate, and promote open-source and third-party tools across Kensho’s platform ecosystem.
- Track emerging tools and frameworks and strengthen engineering best practices across teams.
Requirements
- At least 1 year of experience in ML infrastructure, MLOps, ML engineering, or a similar discipline.
- Experience with Kubernetes and understanding of AWS cloud platforms, including EKS, Bedrock, and SageMaker.
- Proficiency in Python and ability to debug distributed systems across infrastructure, networking, and application layers.
- Familiarity with distributed computing frameworks and workflow orchestration such as Ray and Airflow is preferred.
- Basic understanding of machine learning concepts, LLMs, and agents.
- Strong communication skills and the ability to drive adoption of tools and best practices across multiple teams.
- Experience with agentic AI systems, MCP server patterns, or evaluation pipelines is advantageous.
Benefits
- Medical, dental, and vision insurance with 100% 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.
- Up to $20,000 in tuition assistance for degree programs and up to $4,000 annually for professional education.
- Mentoring, learning opportunities, conference participation, catered lunches, snacks, and drinks.
- Dog-friendly Cambridge office and bike-sharing memberships, plus compassion and elder-care leave.
- Work from anywhere in the United States, with occasional travel required to the Cambridge, Massachusetts or New York City hubs.