Machine Learning Operations Engineer Ii

GOCal

Cambridge, MA, USA
Base: 130-175k; bonus/equity: annual incentive bon...
Ml infra, ml ops, ml engineering
Kubernetes management
Aws cloud platform understanding
The MLOps team's mission is critical: empower ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early

Job Summary

  • The MLOps team's mission is critical: empower ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.
  • You’ll iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
  • Kensho states that the anticipated base salary range for the position is 130 -175k. In addition, this role is eligible for an annual incentive bonus and equity plans.

Matching Summary

The MLOps team's mission is critical: empower ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.

Salary

Base: 130-175k; Bonus/Equity: annual incentive bonus and equity plans; Benefits: Medical, Dental, and Vision insurance 100% company paid premiums, Unlimited Paid Time Off, 26 weeks of 100% paid Parental Leave, 401(k) plan with 6% employer matching, Generous company matching on donations, Up to $20,000 tuition assistance, plus up to $4,000/year for ongoing professional education

Skills & Requirements

Must-have

  • ML infra, ML Ops, ML Engineering
  • Kubernetes management
  • AWS cloud platform understanding
  • Python proficiency
  • distributed computing frameworks
  • software engineering best practices ML
  • ML concepts, LLMs and agents

Nice-to-have

  • Agentic AI systems experience
  • running workflows on Ray
  • MCP server patterns
  • thoughtful, curious, collaborative
  • improving developer experience
  • multiplier effect across team

Key Requirements

  • 2+ years of experience
  • Must be in the United States
  • Ability to debug distributed systems

Work Rights

Must be in the United States

Tailored Resume

Cover Letter