PathAI · 8 hours ago
Senior Software Engineer, MLOps
Greater Boston
Full-time
Hybrid
Senior Level
5+ years expPathAI's mission is to improve patient outcomes with AI-powered pathology. As a Senior Software Engineer, MLOps, you will play a key role in designing, developing, and scaling machine learning infrastructure that powers their enterprise AI systems.
BiotechnologyHealth CareHealth Diagnostics
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
PathAI
PathAI develops technology that assists pathologists in making accurate diagnoses for every patient, every time.
501-1000 employees
H1B Sponsorship
PathAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (20)
2023 (21)
2022 (29)
2021 (25)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
$355.2MKey Investors
LabCorpGeneral AtlanticGeneral Catalyst
2024-05-01Acquired
2022-01-01Debt Financing· $100M
2021-05-18Series C· $165M
Leadership Team
Andrew Beck
Co-founder and CEO
Brandon Eldredge
Chief Financial Officer
Recent News
2025-12-10
Company data provided by crunchbase