Senior Software Engineer, ML Ops

Pathai
Pathai logo
Location
Boston, MA
Job Type
Full-time
Posted
September 12, 2026
Views
1
Salary Range
$128k - $196k USD

Job Description

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 complex problems and making a huge impact.

We are seeking a highly skilledSenior Software Engineer (MLOps). In this position, you play a key role in designing, developing, and scaling machine learning infrastructure that powers our enterprise AI systems. You’re someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things work better.

The Opportunity

  • 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 lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices.
  • You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.
  • You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored.
  • You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.
  • You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

Who You Are:
(Required)

  • You have a BS or Master’s in Computer Science, Computer Engineering, Software Engineering or closely related field.
  • You have5+ years of software engineering experience, with a focus on building production-grade frameworks or applications
  • You have strong software engineering skills incomplex, multi-language systemsand experience with scalable backend architecture.
  • You have experience withKubernetesand cloud computing platforms (AWS preferred).
  • You have experience withobservability and monitoring tools(e.g., Prometheus, Grafana, Datadog).
  • You have a solid understanding ofDevOps principlesand infrastructure-as-code (Helm, Terraform).
  • You have experience owningdevelopment platformsand serving internal customers
  • You have a solid level of proficiency inPython+ exposure to additional languages

Preferred:

  • You have experience with MLframeworkslike PyTorch or Scikit-learn.
  • You have experience withdata workflow orchestration frameworks(e.g., Airflow, Kubeflow).
  • You have expertise inMLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
  • You have experience withstreaming data processing(Kafka, Flink, or Spark Streaming).
  • You have a solid level of familiarity withsecurity and compliancebest practices in ML systems.
  • You have experience usingAI 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; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy  organizations, national standard-setting bodies, and other relevant external parties.
  • You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities.

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.

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 complex problems and making a huge impact.

We are seeking a highly skilledSenior Software Engineer (MLOps). In this position, you play a key role in designing, developing, and scaling machine learning infrastructure that powers our enterprise AI systems. You’re someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things work better.

The Opportunity

  • 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 lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices.
  • You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.
  • You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored.
  • You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.
  • You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

Who You Are:
(Required)

  • You have a BS or Master’s in Computer Science, Computer Engineering, Software Engineering or closely related field.
  • You have5+ years of software engineering experience, with a focus on building production-grade frameworks or applications
  • You have strong software engineering skills incomplex, multi-language systemsand experience with scalable backend architecture.
  • You have experience withKubernetesand cloud computing platforms (AWS preferred).
  • You have experience withobservability and monitoring tools(e.g., Prometheus, Grafana, Datadog).
  • You have a solid understanding ofDevOps principlesand infrastructure-as-code (Helm, Terraform).
  • You have experience owningdevelopment platformsand serving internal customers
  • You have a solid level of proficiency inPython+ exposure to additional languages

Preferred:

  • You have experience with MLframeworkslike PyTorch or Scikit-learn.
  • You have experience withdata workflow orchestration frameworks(e.g., Airflow, Kubeflow).
  • You have expertise inMLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
  • You have experience withstreaming data processing(Kafka, Flink, or Spark Streaming).
  • You have a solid level of familiarity withsecurity and compliancebest practices in ML systems.
  • You have experience usingAI 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; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy  organizations, national standard-setting bodies, and other relevant external parties.
  • You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities.

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.

The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500.  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. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is based in Boston, MA, and is a hybrid role. However, a remote option may be considered for an exceptional candidate.
What are the required qualifications and experience level for this role?
You need a BS or Master's in Computer Science or a related field, and 5+ years of software engineering experience. Required skills include complex multi-language systems, Kubernetes, cloud platforms (AWS preferred), observability tools, DevOps principles (Helm, Terraform), Python proficiency, and experience owning development platforms.
What are the key responsibilities of this position?
You will architect AWS and on-premises ML infrastructure, drive system design for the MLOps suite, collaborate with data scientists and engineering teams, optimize and monitor ML workflows, mentor junior engineers, and automate ML operations using Kubernetes and Airflow.
What is the salary range for this role?
The expected salary range for this position based in Boston, MA is $127,500 - $195,500. Actual pay is determined by experience, qualifications, geographic location, and other job-related factors.
Is relocation support or visa sponsorship offered for this position?
Relocation benefits are not available for this position. The job posting does not mention visa sponsorship.

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Job Information

Source: greenhouse
AI Relevance: 72/100 (Relevant)
Remote Type: onsite
Allowed Locations: Boston, MA
Skills & Tags:
Machine Learning
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