Software Engineer

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).