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Staff ML/AI Platform Engineer

Platform EngineerPlatform EngineerOtherRemoteLeadTeam 1-10Since 2013H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

188 days ago

Salary

$200K - $245K / year

Seniority

Lead

Bachelor Degree3 yrs expEnglishAirflowAWSDocker

Job Description

Staff ML/AI Platform Engineer

BetterHelp

• 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

Job 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

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