Senior Software Engineer, MLOps

About the Senior 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:

• 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. This advanced role builds on your foundational experience, emphasizing leadership, technical depth, and strategic contributions to enterprise-scale MLOps solutions.
• 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.
• Advanced CI/CD Implementation: Establish and maintain robust CI/CD pipelines to automate testing, deployment, and monitoring of ML models and services. Ensure best practices for production-level ML systems.
• 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.

What you’ve accomplished:

• Bachelor of Science degree or higher in Computer Science, Engineering, or a related field.
• 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, including at least 2 years in large businesses or enterprise environments.
• 3+ years of experience deploying and configuring software configuration management, build and deployment processes, CI/CD pipelines, and other application lifecycle management tools on AWS.
• Proven ability to lead cross-functional initiatives and deliver solutions end-to-end, from inception to production.
• Strong experience designing and implementing robust, highly scalable, and reliable services in production environments.
• Demonstrated problem-solving and communication skills, with the ability to influence decisions and collaborate effectively across internal teams.

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 $104,981-$157,476.

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 much more. Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination an