Senior Software Engineer, PathAI
ML Ops
AI-powered pathology tools
Open for applications
AI-powered pathology tools
201-500 employees
Open for applications
201-500 employees
Company mission
To improve patient outcomes with AI-powered pathology.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of software engineering experience, with a focus on building production-grade frameworks or applications
- Strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture
- Experience with Kubernetes and cloud computing platforms (AWS preferred)
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog)
- Understanding of DevOps principles and infrastructure-as-code (Helm, Terraform)
- Experience owning development platforms and serving internal customers
- Proficiency in Python + exposure to additional languages
Desirable
- Exposure to ML frameworks like PyTorch or Scikit-learn
- Experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow)
- Expertise in MLOps principles, including model lifecycle management, feature stores, model monitoring, and CI/CD for ML
- Experience with streaming data processing (Kafka, Flink, or Spark Streaming)
- Familiarity with security and compliance best practices in ML systems
- Use of AI assistants (e.g. CoPilot, Cursor) in development
What the job involves
- As a Senior Software Engineer, MLOps, you will 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 better – without taking yourself too seriously
- Our technical space is broad: cloud infrastructure, Kubernetes, high-scale workloads, observability, distributed systems, and a bit of everything in between
- Architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
- Drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements
- Lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
- Collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production
- Optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored
- Champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
- Automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools
Our take
PathAI is a leader in the field of AI-powered pathology, dedicated to transforming patient outcomes by harnessing the power of AI. Its core mission revolves around enhancing the accuracy of diagnoses and the effectiveness of disease treatments, particularly in critical areas like cancer.
PathAI's pioneering spirit is evident through its breakthroughs, exemplified by innovations such as the AIM-HER2 Breast Cancer algorithm. This tool automates HER2 scoring and introduces a novel approach with additive multiple instance learning (aMIL) heatmaps, offering insights into scoring mechanisms. Additionally, PathAI's PathExplore panel of human interpretable features (HIFs) fosters collaborative research, thus enhancing understanding of the tumor microenvironment.
As the company moves forward, it is poised to continue shaping the landscape of AI-powered pathology, driving advancements in medical research, diagnostics, and drug development, while upholding its central mission to improve patient well-being.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2021
$165m
SERIES C
Nov 2019
$15m
SERIES B
Total funding: $258.6m
Company benefits
- Comprehensive Health Plans
- Paid Time Off & Paid Holidays
- Wellness Benefits
- 401(k) Program
- Parental Leave
Company HQ
West Fens, Boston, MA
Leadership
Andrew Beck
(CEO)Graduated from Stanford University with a PhD in Biomedical Informatics. Previously worked at Harvard Medical School as a Professor of Pathology.
Aditya Khosla
(Advisor)Graduated from the Massachusetts Institute of Technology with a PhD in Computer Science. They now serve as the CTO at Iterative Health.
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