PathAI
Associate Director, MLOps Engineering
Boston (Onsite) Preferred, New York (Onsite), or Remote · Director
Sponsorship not specified$182k-$278kDetected 22 days ago
Distributed SystemsAlgorithmsDatabricksAWSGCPAzureCloud PlatformsKubernetesTerraformHelmCI/CDDevOpsSite Reliability EngineeringMachine LearningPyTorchSparkAirflowData ScienceMLOpsAI OrchestrationEHR/EMRResearchCollaboration
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odds of building a lasting career here
56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- This role is critical for driving the scalability and efficiency of our Machine Learning Operations platform with high-impact & high growth strategic initiatives.
- Buy" assessments, leading "Stack Refresh" audits to benchmark our proprietary tools against best-in-class commercial and open-source alternatives to meet our future needs.
Responsibilities
- Successfully manage the tension between short-term tactical deliveries and long-term architectural transformation for future growth.
- Team Management: Lead and mentor a team of 6-7+ high-performing engineers. Strategically allocate resources to manage support for existing services while executing key strategic initiatives.
- Inference Modernization: Modernize the AI Product inference stack to support 5-10x growth of AI runs across global deployments.
- System Observability: Collaborate with Site Reliability Engineering (SRE) to establish comprehensive metrics covering compute under-utilization, network bottlenecks, and granular cost and turn-around-time attribution.
Requirements
- You have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- You have 8-10+ years in Software/ML Engineering, with 4+ years managing engineering teams and platform strategy
- You have a proven track record of growing engineering teams, managing team budgets/cloud costs, and driving MLOps platform adoption across multi-disciplinary organization units.
- You have demonstrated experience managing petabyte-scale datasets and high-throughput production inference pipelines.
- You have demonstrated strong software engineering skills in complex, multi-language systems and experience with scalable service architecture.
- You have experience using AI assistants (e.g. CoPilot, Cursor, Claude) across platform development lifecycles.
Nice to have
- You have experience working with ML frameworks like PyTorch or Scikit-learn.
- You have experience with large-scale data processing frameworks (e.g. Spark, Hive, Databricks, Amazon EMR)
- You have demonstrated expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
- You have a familiarity with security and compliance best practices in ML systems.
Skills
- PathAI's mission is to improve patient outcomes with AI-powered pathology.
- Your primary directive is to evolve our stack to meet the next scale of needs in large scale ML training & inference workloads.
- Our technical space is broad:
- The Opportunity:
Compensation
- The expected salary range for this position based on the primary location Boston, MA is $181,500 - $278,300.
Benefits
- Vision and Roadmap: Develop and execute the long term vision & roadmap for MLOPs team to support ML development and deployment needs across the business units.
Company info
- We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
This listing is sourced directly from PathAI's careers page and normalized into a canonical job model.