---
title: 'Senior/Staff Software Engineer, ML Ops at PathAI'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-ml-ops-pathai-boston-59g2hg9pnmky'
type: 'job'
last_seen: '2026-10-15'
---

# Senior/Staff Software Engineer, ML Ops at PathAI

- **Company:** PathAI
- **Location:** Boston, MA
- **Posted:** 2026-09-12
- **Last confirmed live:** 2026-10-15
- **Apply:** https://www.pathai.com/careers/8769653002?gh_jid=8769653002

## 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 skilled Senior 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 have 5+ years of software engineering experience for Senior or 8+ years for Staff, with a focus on building production-grade frameworks or applications
- 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 experience owning development platforms and serving internal customers
- You have a solid level of proficiency in Python + exposure to additional languages

Preferred:

- You have experience with ML frameworks like PyTorch or Scikit-learn.
- You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow).
- You have expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.
- 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; 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 at the Senior level and $146,250 - $224,250 at the Staff level.  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.

## About PathAI

## Core Business
- **Primary industry**: Healthcare AI / Digital Pathology / Precision Medicine
- **Target customers**: Biopharma companies (top 15 leverage their technology), anatomic pathology laboratories (academic medical centers, reference labs, health systems), and clinical research organizations.
- **Mission**: To improve patient outcomes with AI-powered pathology through more accurate diagnosis, matching patients with effective treatments, and accelerating life-saving drug approvals.

## Products & Services
- **AISight®**: A cloud-native, open platform enterprise digital pathology workflow solution for case management, image management, and AI applications. Received FDA 510(k) clearance for primary diagnosis, including a Predetermined Change Control Plan (PCCP). Also CE marked.
- **AI Algorithms**: Over 20 AI products launched (e.g., PathExplore, AIM-MASH AI Assist for NASH, PathAssist Derm – Breakthrough Device Designation). Trained on 32.5+ million annotations from a network of 450+ pathologists.
- **Precision Pathology Network (PPN)**: First global network of digital anatomic pathology laboratories launched in 2025.
- **Biopharma Lab Services**: CAP/CLIA-certified GCLP histopathology lab in Memphis supporting end-to-end clinical trials.

## Market Standing
- **Valuation**: Not publicly disclosed (private company; pending acquisition by Roche – definitive merger agreement announced April 7, 2026).
- **Key Metric**: Total funding not specified in sources, but notable milestones include FDA clearances, partnerships, and expansion of AI products.
- **Notable Investors/Partners**: Quest Diagnostics (strategic partnership, including sale of PathAI Diagnostics in 2024), Labcorp (expanded nationwide deployment of AISight), MedStar Health, and Roche (acquiring entity).
- **Growth Signals**: FDA clearance for AISight Dx with PCCP (2025); Breakthrough Device Designation for PathAssist Derm (2026); EMA and FDA qualification of AIM-MASH AI Assist as a Drug Development Tool (2025); launch of Precision Pathology Network (2025); Labcorp collaboration expansion (2026); top 15 biopharma companies as clients.

## Competitive Advantages
- **Data Moat**: 32.5+ million annotations from a proprietary network of 450+ board-certified pathologists and a vast library of archived tissue data.
- **Regulatory Leadership**: First digital pathology platform with FDA clearance including a PCCP, enabling iterative AI improvements without new submissions.
- **End-to-End Solutions**: From AI algorithms and digital pathology platform to wet lab services and clinical trial support – a comprehensive precision pathology offering.
- **Established Partnerships**: Deep relationships with major diagnostics companies (Quest, Labcorp) and biopharma leaders.

## Strategic Focus
- **Expanding AI Diagnostics**: Scaling FDA-cleared AISight Dx platform and AI algorithms across reference labs and health systems.
- **Precision Medicine**: Driving biomarker discovery and drug development tools (e.g., AIM-MASH AI Assist) to match patients with effective therapies.
- **Global Network**: Growing the Precision Pathology Network to standardize digital pathology worldwide.
- **Integration with Roche**: Post-acquisition, likely to accelerate global reach and R&D investment (deal announced April 2026).

## Why Work Here
- **Culture**: Values include patient first, accountability, team (One PathAI), humility, and being all in. Described as passionate about solving big challenges in healthcare.
- **Work Model**: Hybrid (Boston, Memphis, NYC) and remote-friendly roles available. Boston HQ in Fenway with amenities (snacks, game room, roof deck). Memphis lab office near downtown. NYC co-working space in Union Square.
- **Benefits**: Comprehensive health plans, parental leave, wellness benefits, 401(k) program, paid time off and holidays.
- **Recognition**: Named Best Places to Work in Boston (2022, 2023) and Great Place to Work Certified (2022-2023).
- **Team**: 650 total employees (as of BuiltIn data), with roles in engineering, science, and operations. Open positions listed on Greenhouse.

## Sources
1. [PathAI Official Website](https://www.pathai.com/)
2. [PathAI About – History & Leadership](https://www.pathai.com/about-us)
3. [PathAI Careers Page](https://www.pathai.com/careers)
4. [Built In – PathAI Careers, Perks & Culture](https://builtin.com/company/pathai)
5. [Crunchbase – PathAI Profile](https://www.crunchbase.com/organization/pathai)

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