Staff ML/AI Platform Engineer

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BetterHelp

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B2C • Healthcare Insurance • Wellness

BetterHelp is the world's largest online therapy service, offering professional, licensed, and vetted therapists to help with a range of issues including depression, anxiety, relationships, trauma, and more. The platform allows users to communicate with therapists via text, chat, phone, and video sessions, providing convenience and flexibility similar to traditional in-office therapy. BetterHelp matches users with licensed providers such as psychologists, licensed professional counselors, and clinical social workers, and offers therapy solutions for individuals, couples, and teens.

2 - 10 employees

Founded 2013

👥 B2C

⚕️ Healthcare Insurance

🧘 Wellness

📋 Description

• 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 • Work with product managers and business partners to gather requirements for machine learning models • Build model deployment platform that can simplify implementing new models • Build end-to-end reusable pipelines from data acquisition to model output delivery • Mentor and guide junior data scientists to deploy their models into production • Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp

🎯 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 • Superb written and oral communication skills • 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 • Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms • Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow • Experience with development environment and deployments using Docker • Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms • Experience in writing data pipeline and machine learning libraries and utilities • Willingness to learn new technologies • Willingness to mentor junior ml engineers and data scientists • Comfortable in a high-growth, fast-paced and agile environment

🏖️ Benefits

• Remote work with regular in-person bonding experiences sponsored by the company • Competitive compensation • Holistic perks program (including free therapy, employee wellness, and more) • Excellent health, dental, and vision coverage • 401k benefits with employer matching contribution • The chance to build something that changes lives – and that people love • Any piece of hardware or software that will make you happy and productive • An awesome community of co-workers