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PathAI

Associate Director, MLOps Engineering

PathAI · Boston (Onsite) Preferred, New York (Onsite), or Remote

Posted 1 day ago · $181,500 - $278,300

or apply directly on PathAI's site. We never take the application ourselves.

Is this posting real?

This role has been open
1 day
PathAI's roles stay open a median of 14 days
Reposted
No
Salary listed
Yes
100% of PathAI's roles list one
Ghost-job risk at PathAI
high
7 stale, 7 reposted of 17 open
Hiring momentum
25 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-26

Measured from postings appearing on and disappearing from PathAI's own greenhouse board since 2026-08-03. Full hiring picture for PathAI.

About this role

The Associate Director, MLOps Lead will oversee the infrastructure for AI/ML operations at PathAI, focusing on scaling and modernizing the ML stack for large-scale training and inference workloads. Responsibilities include managing a team of engineers, collaborating with cross-functional teams, architecting compute and storage solutions, and driving the modernization of AI product inference systems. This role is crucial for enhancing the efficiency and scalability of the Machine Learning Operations platform.

Our read on this posting4.2out of 5
benefits
1/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of PathAI as an employer.

What you need

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • 8–10+ years in Software/ML Engineering
  • 4+ years managing engineering teams and platform strategy
  • Experience building production-grade frameworks for MLOps or ML Infrastructure
  • Proven track record of growing engineering teams and managing team budgets/cloud costs
  • Deep technical expertise with ML workloads on Kubernetes

Nice to have

  • Experience working with ML frameworks like PyTorch or Scikit-learn
  • Experience with large-scale data processing frameworks (e.g. Spark, Hive, Databricks, Amazon EMR)
  • Expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML
  • Familiarity with security and compliance best practices in ML systems

Worth weighing

  • This is a hybrid position with no relocation benefits available.
  • The salary range is provided, but actual pay will depend on various factors including experience and location.
  • The role involves managing a team and requires a significant level of experience in both technical and leadership capacities.

Summarised from PathAI's posting. Read the full original.

Listed by PathAI on their greenhouse job board, last confirmed open on 2026-09-26. PitchMeAI is not the employer.

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