Senior Software Engineer, MLOps

Position Overview

• Location Type: Remote (United States)
• Employment Type: Full-time
• Salary: Not specified

As a Senior Software Engineer, MLOps at Headspace, you’ll be a key member of the Headspace AI Engineering team, focused on building and delivering state-of-the-art platforms and services for data and AI. You’ll work on cutting-edge solutions, championing their adoption and maximizing their potential to drive Headspace’s vision of improving health and happiness worldwide. This role initially empowers our top Data Scientists, with the potential to influence a broader audience across the company.

Requirements

• Education: Bachelor of Science degree or higher in Computer Science, Engineering, or a related field.
• Experience:
  • 3+ years of experience with AWS and MLOps practices.
  • 2+ years of experience with TypeScript and Terraform, showcasing proficiency in modern development and infrastructure tools.
  • 4+ years of software engineering experience.

Responsibilities

• Leadership and Ownership: Lead and drive initiatives end-to-end, spanning multiple layers of architecture and business domains. Provide strategic guidance to ensure alignment with organizational goals.
• ML Architecture Design: Design, implement, and optimize ML-related architecture in AWS using Infrastructure as Code (IaC) tools like Terraform, ensuring scalability, reliability, and efficiency.
• CI/CD Implementation: Establish and maintain robust CI/CD pipelines to automate testing, deployment, and monitoring of ML models and services.
• Tool Development: Build and improve productivity-enhancing tools and frameworks for AI and ML practitioners, enabling efficient experimentation and deployment.
• Self-Service and Automation: Drive the development and adoption of advanced self-service capabilities and automation frameworks, reducing operational overhead and improving scalability.
• Monitoring and Alerting: Develop and provision automated alerts, detailed metrics, and advanced monitoring solutions for critical ML pipelines, ensuring operational excellence and rapid issue resolution.
• Mentorship and Collaboration: Mentor junior engineers and collaborate with cross-functional teams to deliver scalable and impactful ML infrastructure solutions.

Application Instructions

• The role is currently recruiting remotely in the United States.
• Candidates must permanently reside in the US full-time.

Company Information

Headspace is dedicated to advancing the company’s capabilities in AI and data science. Our mission is to empower AI practitioners to innovate and excel via productivity-enhancing tooling.