Machine Learning Operations Engineer I

Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.

Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.

Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products

Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem

Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents

Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues

Stay at the frontier by actively tracking emerging tools and frameworks, promote best practices and strengthen the technical expertise of the team with your unique skill set

1+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset

Experience with Kubernetes

Cloud Platform (AWS) understanding. We utilize tools like EKS and managed ML services like Bedrock and SageMaker

Python proficiency (we are a Python shop mostly)

Familiarity with distributed computing frameworks and workflow orchestration (ie. Ray, Airflow) is a big plus

Familiarity with software engineering best practices in an ML context

Some basic understanding of ML concepts, LLMs and agents

Ability to debug distributed systems across infrastructure, networking and application layers

Excellent communication skills to drive adoption of new tools and best practices across multiple teams

Someone who’s very curious, driven, low-ego and eager to learn across a range of engineering disciplines, while being part of a fantastic team

Development: Python, Bash, LangGraph, PyTorch

Infrastructure: Ray, Amazon EKS, Airflow, Jsonnet, Terraform

Ops: Git, AWS, LangFuse, Sentry, Prometheus, W&B

Agentic AI systems, tools, frameworks and workflows

MCP server patterns

Eval pipelines

At Kensho, we pride ourselves on providing top-of-market benefits, including:

Medical, Dental, and Vision insurance

100% company paid premiums

Unlimited Paid Time Off

26 weeks of 100% paid Parental Leave (paternity and maternity)

401(k) plan with 6% employer matching

Generous company matching on donations to non-profit charities

Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

Plentiful snacks, drinks, and regularly catered lunches

Dog-friendly office (CAM office)

Bike sharing program memberships

Compassion leave and elder care leave

Mentoring and additional learning opportunities

Opportunity to expand professional network and participate in conferences and events

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We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.