Machine Learning Operations Engineer Ii

Kensho

Cambridge, MA, US
Base: 130k - 175k; bonus/equity: annual incentive ...
2+ years ml infra or mlops experience
Kubernetes distributed systems management
Aws cloud platform expertise
The MLOps team empowers ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly and build reliably

Job Summary

  • The MLOps team empowers ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly and build reliably.
  • Employees are supported by top-of-market benefits including unlimited paid time off, 100% company-paid parental leave, and up to $20,000 in tuition assistance.
  • The role involves balancing pragmatic platform development with hands-on exploration at the frontier, such as building agentic applications and contributing to open-source tools.

Matching Summary

The MLOps team empowers ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly and build reliably.

Salary

Base: 130k - 175k; Bonus/Equity: Annual incentive bonus and equity plans eligible; Benefits: Top-of-market medical, dental, vision, 401(k) matching, PTO, and tuition assistance

Skills & Requirements

Must-have

  • 2+ years ML infra or MLOps experience
  • Kubernetes distributed systems management
  • AWS cloud platform expertise
  • Python programming proficiency
  • Distributed computing frameworks like Ray or Airflow

Nice-to-have

  • Experience with Agentic AI systems
  • Knowledge of MCP server patterns
  • Curiosity and low-ego collaborative mindset
  • Frontier tracking of emerging tools
  • Open source contribution experience

Key Requirements

  • 2+ years experience in ML infra or MLOps
  • Proficiency in Python programming
  • Understanding of Kubernetes concepts and trade-offs

Work Rights

Not specified

Tailored Resume

Cover Letter