Kensho Technologies
Machine Learning Operations Engineer II
New York, New York · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,717 more — $137,717 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $137,717 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents
- With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
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
This listing is sourced directly from Kensho Technologies's careers page and normalized into a canonical job model.