PathAI Tech Stack

AI-powered pathology platform for cancer diagnosis and treatment optimization

Software Development Boston, Massachusetts 501–1,000 employees Founded 2016 Privately Held

PathAI operates a machine-learning platform purpose-built for digital pathology, running on a modern data stack (Python, PyTorch, TensorFlow, Kafka, Snowflake, dbt, Airflow) scaled across AWS and Kubernetes. The engineering-heavy hiring profile, combined with active projects spanning model deployments, MLOps, and clinical trial infrastructure, reveals a company transitioning from research-stage AI into production clinical workflows—a shift reflected in concurrent pain points around scaling ML infrastructure, bridging the research-to-production gap, and optimizing storage for experiment data.

Tech Stack 32 technologies

Core StackPython FastAPI Django Docker AWS AWS RDS PostgreSQL Kafka RabbitMQ GitLab CI/CD Kubernetes Vue PyTorch TensorFlow dbt Snowflake Apache Spark Apache Airflow Prometheus Grafana Datadog Helm Django REST Framework AWS EKS AWS SQS AWS MSK HL7 Amazon RDS Aurora Hive+2 more

What PathAI Is Building

◆Challenges

Scaling platform functionality
Optimizing platform features
Unique machine learning challenges
Scalability of ml data infrastructure
Storage optimization for ml experiment data
Modernizing etl pipelines
Scaling machine learning infrastructure
Bridging research production gap
Optimizing ml workflows

▲Active Projects

Model deployments
Exploratory biomarker and translational projects
Clinical services work related to clinical trials
Platform product initiatives
Scaling platform functionality
Modernizing etl pipelines
Optimizing storage for ml experiment data
Building database-backed applications for ml r&d
Mlops suite
Ml workflow automation

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Engineering

Data

Healthcare

Marketing

Product

Research

Seniority

Senior

Mid

Intern

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About PathAI

PathAI develops an AI platform for pathology that improves diagnostic accuracy and treatment efficacy in oncology and related diseases. The product sits at the intersection of clinical diagnostics and machine learning, serving hospital systems, biopharma companies, and diagnostic laboratories. The company combines a research-oriented project portfolio (exploratory biomarker studies, clinical trial integration) with infrastructure-heavy engineering (ETL modernization, MLOps tooling, database-backed ML applications), operating from Boston with a 501–1,000-person team distributed across the United States, Bulgaria, the United Kingdom, and Brazil.

HeadquartersBoston, Massachusetts

Company Size501–1,000 employees

Founded2016

Hiring MarketsUnited States, Bulgaria, United Kingdom, Brazil

Frequently Asked Questions

What tech stack does PathAI use?

Python, PyTorch, TensorFlow, FastAPI, Django, PostgreSQL, Kafka, RabbitMQ, Snowflake, dbt, Apache Airflow, Spark, Docker, Kubernetes, AWS (EKS, RDS, SQS, MSK), GitLab CI/CD, Prometheus, Grafana, and Datadog.

What countries does PathAI hire in?

PathAI actively recruits in the United States, Bulgaria, the United Kingdom, and Brazil.