Staff Software Engineer, MLOps

About the Staff Software Engineer, MLOps at Headspace:

Our Headspace AI Engineering team 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. As an MLOps Engineer, you’ll play a pivotal role in designing and delivering state-of-the-art platforms, frameworks, and services that form the backbone of Data and AI at Headspace. 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.

Initially, your work will empower our top Data Scientists, but your influence will scale to benefit engineers, analysts, and other AI enthusiasts. By democratizing AI across Headspace, you’ll help shape a future where everyone can harness the power of AI to create meaningful impact.

How your skills and passion will come to life at Headspace:

• Ownership and Execution: Take responsibility for delivering impactful initiatives in your specific area of expertise. Work across layers of architecture and collaborate with cross-functional teams to ensure alignment with business objectives and technical excellence.
• ML Architecture Contributions: Contribute to the design and optimization of ML-related architecture in AWS, leveraging Infrastructure as Code (IaC) tools like Terraform. Focus on implementation and improvement to ensure scalability and reliability.
• CI/CD Best Practices: Implement and maintain CI/CD pipelines for ML systems, focusing on automating testing and deployment processes. Actively monitor production ML systems to ensure they adhere to best practices.
• Tool Enhancement: Develop and refine tools that improve productivity for ML and AI practitioners, enabling more efficient experimentation and deployment cycles.
• Self-Service and Automation Support: Work on creating and maintaining self-service and automation tools to minimize operational overhead. Aim to simplify processes for broader team usage.
• Operational Monitoring: Design and implement alerting, detailed metrics, and monitoring solutions for key ML pipelines. Focus on maintaining operational excellence and enabling quick resolution of issues.
• Team Collaboration: Work closely with peers and contribute to team success by sharing knowledge and insights. Assist in mentoring newer engineers to elevate team capabilities and maintain high standards of technical delivery.

What you’ve accomplished:

Educational Background:

• Bachelor of Science degree or higher in Computer Science, Engineering, or a related technical field.

Technical Expertise:

• 4+ years of experience with AWS, particularly in ideating and applying MLOps practices to streamline and optimize ML workflows.
• Proficiency in TypeScript and Terraform with at least 3+ years of hands-on experience, demonstrating practical use in modern development and infrastructure management.
• 4+ years of software engineering experience, including working on scalable, production-grade systems, preferably in enterprise or large business environments.
• 3+ years of experience implementing and maintaining software configuration management, CI/CD pipelines, build and deployment processes, and other lifecycle tools on AWS.

Individual Impact:

• • Demonstrated success in executing technical initiatives end-to-end, focusing on design, implementation, and deployment.
  • Developing junior talent and implementing best practices.
  • Proven expertise in building robust, scalable, and reliable services, with a focus on operational excellence in production environments.
  • Strong problem-solving skills and technical communication, with the ability to collaborate effectively with cross-functional teams to deliver impactful solutions.

Pay & Benefits:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $131,414-$197,100.

At Headspace, cash salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and m