Job Specifications
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.
Location: This is a hybrid role located in our San Francisco office, working 3 days per week from the office.
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 anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits.
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.
Your recruiter will provide more details on the specific salary range for your location during the hiring process.
At Headspace, base 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, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.
About Headspace
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.
At Headspace, our values aren't just what we believe, they're how we work, grow
About the Company
Headspace is the leading provider of end-to-end mental health care. By combining AI and cutting edge technology, clinical science and human care, we provide people around the world with always-there support, ranging from our meditation and mindfulness content, self-guided care, mental health coaching, and therapy - all in one app. We partner with leading employers, health plans and partners, bringing even more support to their populations, including psychiatry, EAP, care navigation and work-life services. Our team of experts...
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