Senior AI/ML Ops Engineer

About the role

We are looking for a talented Senior AI/ML Ops Engineer I with a focus on Deep Learning to join us in our commitment to improve the quality of care for patients in every community across the nation. You will work with a growing multidisciplinary team of talented AI scientists, data scientists, engineers, and researchers to leverage unique healthcare data (in the form of MRI images, clinical reports, claims data, and beyond) and be instrumental in building out our automated quality assessment platform.

In this role, you will be responsible for implementing important design decisions around our infrastructure, helping us evaluate which tools to use, and planning and orchestrating complex changes. Working closely with the AI scientists, you will help ensure we are building high-quality systems -- including monitoring to keep them running smoothly.

You will:

• Investigate, evaluate and develop new and existing tools to scale machine learning models deployment.
• Contribute to the enhancement and extension of all our AI/ML pipelines and environments
• Build reliable, performant, maintainable and secure pipelines which can scale to the needs of our business while reducing costs
• Collaborate closely with our Software Engineering team to manage our AI infrastructure and automate pipelines whenever possible
• Optimize our architecture design, and perfect our CI/CD package management,  testing and release processes, and management of our pipeline orchestration tools.
• Ensure reliable and ongoing measurement and monitoring of our AI platform
• Collaborate closely with other engineers and AI scientists by receiving and providing feedback on plans, technical designs, and code.

Requirements:

• MS in computer science or related discipline
• At least 3+ years of work experience
• Applied programming experience in Python, C, and/or C++
• Experience with libraries and tools like PyTorch, Ray and CUDA
• Experience in building, productizing and monitoring orchestration pipelines for AI and Machine Learning pipelines
• Experience using deep learning inference engines and optimization frameworks to deploy deep learning models (ONNX, Intel OpenVino, or similar frameworks) 
• Experience with Cloud Computing
• Experience with Unix-based environments and shell scripting
• Experience deploying deep learning pipelines 
• Experience with containers / orchestration (Docker and Kubernetes preferred)
• Ability to work well as an individual contributor as well as within a multidisciplinary team environment
• Strong communicator with excellent interpersonal skills and can-do attitude to work and thrive in a fast-paced team environment

Benefits

You will be a full-time employee with a competitive salary, stock options, and great benefits. These benefits include medical, dental, and vision insurance, HSA, 401k, pre-tax commuter benefits, flexible paid time off, and a comfortable office space filled with a variety of quality snacks and beverages. Most importantly, you’ll get to know each of us and we love to work together to find solutions. We are a talented, fun, focused, and unique team of people who are truly passionate about changing healthcare for the better! Even while remote, you'll experience the Covera culture as we offer a host of virtual experiences including a book club, fitness club, guest speakers, dynamic Slack channels, and more!

The minimum and maximum salary for this position is contingent upon Senior or Principal title and ranges from $133,000 to $179,000. Final salary will be based on a number of factors including: level, relevant prior experience, skills, and expertise.

At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.