PathAI

PathAI

Senior/Staff Software Engineer, ML Ops

Boston, MA · Staff+

Sponsorship not specified$128k-$196kDetected 8 days ago
PythonAWSKubernetesTerraformHelmCI/CDPrometheusGrafanaDatadogDevOpsKafkaMachine LearningPyTorchSparkAirflowMLOpsAI OrchestrationResearchLeadershipCommunicationCollaborationCritical ThinkingMentoring

Stay score

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.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$88,9201 entry
Level II$112,8612 entries
Level III$136,7813 entries
Level IV$160,7224 entries

$9,281 more — $136,781 — moves this role to Level III and 3 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 $136,781 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Boston-Cambridge-Newton, MA-NH. 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

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

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

  • PathAI's mission is to improve patient outcomes with AI-powered pathology.
  • PathAI is transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving

Responsibilities

  • You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
  • You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements.
  • You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.

Requirements

  • You have experience with streaming data processing (Kafka, Flink, or Spark Streaming).
  • You have a solid level of familiarity with security and compliance best practices in ML systems.
  • You have experience using AI assistants (e.g. CoPilot, Cursor) in development.
  • You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally

Nice to have

  • You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.
  • You have a BS or Master's in Computer Science, Computer Engineering, Software Engineering or closely related field.
  • You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture.
  • You have experience with Kubernetes and cloud computing platforms (AWS preferred).
  • You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog).
  • You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform).
  • You have a solid level of proficiency in Python + exposure to additional languages
  • You have experience with ML frameworks like PyTorch or Scikit-learn.

Skills

  • This is a hybrid position based in Boston, MA. (A remote option may be considered for an exceptional candidate.)
  • Relocation benefits are not available for this position.
  • Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
  • PathAI is an equal opportunity employer.

Compensation

  • The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500 at the Senior level and $146,250 - $224,250 at the Staff level.

Benefits

  • You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.

Company info

  • We are seeking a highly skilled Senior Software Engineer (MLOps).

This listing is sourced directly from PathAI's careers page and normalized into a canonical job model.