Staff ML/AI Platform Engineer

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BetterHelp

Site WebLinkedInTous les Emplois

1 - 10 employés

Fondée en 2013

🏥 Santé

⚕️ Assurance santé

🧘 Bien-être

Healthcare • Healthcare Insurance • Wellness

BetterHelp est le plus grand service de thérapie en ligne au monde, offrant une plateforme où les individus peuvent se connecter avec des thérapeutes agréés par le biais de séances de texte, chat, audio ou vidéo. Ce service permet aux utilisateurs de trouver facilement un thérapeute correspondant à leurs besoins et préférences spécifiques, rendant le soutien en santé mentale accessible de n'importe où et à tout moment. Avec un réseau de plus de 30 000 thérapeutes agréés, BetterHelp cherche à améliorer le bien-être mental en répondant à une gamme de problèmes tels que la dépression, l'anxiété, les relations et le traumatisme, tout en garantissant le même niveau de professionnalisme que la thérapie traditionnelle en cabinet.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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