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.

US-remote job location: we are currently recruiting remotely in the United States for this role. Candidates must permanently reside in the US full-time.

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.

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 and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice