BetterHelp intends to work on a series of interesting AI driven projects and needs to productionize and scale AI/ML products, assisting ML Engineers and Data Scientists in deploying their code into production.
Requirements
- 3+ years of experience in machine learning platform systems
- Experience with autoscaling, and autoscaling such as load balancing
- Solid understanding of distributed computing and proven experience with them
- Experience integrating ai/machine learning models in production
- Strong background in shell or bash scripting
- Experience building CICD pipelines
- Experience with infrastructure as service tools such as terrafrom, cloud formation
Responsibilities
- Design, prototype and productionize scalable AI/machine learning models
- Play a critical in setting up the best practices in machine learning, setting direction of the machine learning platform
- Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
- Partner with ML engineers and data scientists to troubleshoot and optimize complex ML pipelines
- Build model deployment platform that can simplify implementing new models
- Build end-to-end reusable pipelines from data acquisition to model output delivery
- Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp
Other
- Superb written and oral communication skills
- Willingness to learn new technologies
- Willingness to mentor junior ml engineers and data scientists
- Comfortable in a high-growth, fast-paced and agile environment
- Travel to our San Jose, CA office up to three times per year plus one company-wide offsite
