Kensho Technologies
Machine Learning Operations Engineer II
New York, New York · Mid
Sponsorship not specified$130k-$175kDetected 24 days ago
PythonBashDistributed SystemsGitAWSCloud PlatformsKubernetesTerraformPrometheusSite Reliability EngineeringMachine LearningPyTorchAirflowNLPLLMsAgentic AIMLOpsLangGraphAI OrchestrationExcelCAMResearchCommunicationMentoring
About the role
- Kensho is S&P Global's hub for AI innovation and transformation.
- Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
- Our communication with one another is open, honest, and efficient.
Responsibilities
- Iterate on Kensho's ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
- We collaborate using our teammates' diverse perspectives to solve hard problems.
- Excellent communication skills to drive adoption of new tools and best practices across multiple teams
- As an MLOps Engineer, you are a thoughtful, curious, collaborative, and resourceful person passionate about building and supporting a mature ML platform.
- You're excited to work on internal tooling enabling ML engineers to iterate faster and build high-quality production-ready models, agents, and products.
- At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products.
- We collaborate with one another in an open, honest, and efficient way to solve hard problems.
Requirements
- 2+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset
- Experience managing distributed systems with Kubernetes.
- Familiarity with distributed computing frameworks and workflow orchestration (ie.
- Familiarity with software engineering best practices in an ML context
- Ability to debug distributed systems across infrastructure, networking and application layers
- Experience with Agentic AI systems, tools, frameworks and workflows
- Experience with running workflows on Ray
- Experience with MCP server patterns
Compensation
- Kensho states that the anticipated base salary range for the position is 130 -175k.
Benefits
- We support our employees by fostering opportunities for continual learning, pursuing their curiosities and adding to an amazing culture.
- In addition, this role is eligible for an annual incentive bonus and equity plans.
- Medical, Dental, and Vision insurance
- Unlimited Paid Time Off
Company info
- empower our ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.
- We sit at the intersection of infrastructure and ML, and work closely with all our ML teams (ML Product teams, R&D, …) and our infrastructure teams (Core Infra, SRE, Security).
- The MLOps team is the de facto ML platform team at Kensho.
- 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
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This listing is sourced directly from Kensho Technologies's careers page and normalized into a canonical job model.