Note: The job is a remote job and is open to candidates in USA. BetterHelp is on a mission to make mental health care more accessible to everyone. As a Staff ML/AI Platform Engineer, you will be responsible for platform engineering to productionize and scale AI/ML products while collaborating with ML Engineers and Data Scientists.

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
• 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

Skills

• 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
• Experience with building and training machine learning models
• Experience hosting open source AI models and LLMs
• Experience working and productioning feature stores
• Experience with Data stores such as S3, Snowflake, and DynamoDB

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
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers

Company Overview