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NEXTMOVEFDE careers · United States
BetterHelp

Staff ML/AI Platform Engineer

AI summary of the role

BetterHelp seeks a Staff ML/AI Platform Engineer to lead platform work for productionizing and scaling AI/ML products.

What you’ll do

  • Design, prototype and productionize scalable AI/machine learning models
  • Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
  • Build model deployment platform that can simplify implementing new models
  • Build end-to-end reusable pipelines from data acquisition to model output delivery

What you’ll bring

  • 3+ years of experience in machine learning platform systems
  • Experience with autoscaling and load balancing
  • Solid understanding of distributed computing
  • Experience integrating AI/machine learning models in production

Technologies

AWS Lambda · ECS · ECR · SageMaker · Fargate · EMR · Airflow · Docker · Terraform · CloudFormation

About BetterHelp

Online therapy marketplace matching consumers with 30,000+ licensed therapists via web/app; subscription D2C plus growing employer/EAP and insurance-covered channels.

Acquired · 1000–2000 people

Source and classification

Deployment team leadership · Evidence for this classification:

seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? BetterHelp is looking for a Staff ML/AI Platform Engineer to join its data team. BetterHelp intends to work on a series of interesting AI driven projects. The ideal candidate should have a combination of experience in platform engineering, machine learning, and software engineering. As a Staff ML/AI Platform Engineer on the team, you will be responsible for doing platform work to help productionizing and scale AI/ML products. You will also assist ML Engineers and Data Scientists in deploying their code into production. You will have a
How jobs are selected

Employer postings · Data from · Sources