Staff Software Engineer, Headspace Health
MLOps
$131.4-197.1k
Plus stock awards
Mental health and wellbeing platform
Job no longer available
Mental health and wellbeing platform
1001+ employees
Job no longer available
$131.4-197.1k
Plus stock awards
1001+ employees
Company mission
To transform mental healthcare to improve the health and happiness of the world.
Role
Who you are
- Bachelor of Science degree or higher in Computer Science, Engineering, or a related technical field
- 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
- 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
What the job involves
- 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
- 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
Our take
The world is facing a growing mental health crisis. In 2022, the US saw the proportion of the population with an acute anxiety, depression or other mental health need grow from 20% to 40%.
In 2021, Headspace and Ginger finalised a $3bn merger to form Headspace Health, an accessible mental health platform. It is determined to democratize mental healthcare, and its brands are already being used by over 100 million people and more than 4,000 enterprises including Starbucks, Adobe and Paramount.
There is clearly a need for virtual mental healthcare, and the market is growing increasingly crowded, with competitors including His & Hers Health. However, Headspace Health sets itself apart with its rapidly growing portfolio of services, added in part through strategic acquisitions such as that of AI health firm Sayana in 2022. It is now focusing on international expansion, offering its services directly to companies in the UK for the first time.
Steph
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jun 2020
$47.7m
SERIES C
Feb 2020
$53m
SERIES C
Total funding: $175.4m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Russell Glass
(CEO, not founder)Previously VP of Products at Linkedin. Was also CEO of Ginger, before it merged with Headspace to create Headspace Health. Presently, on the Board at CollegeSolved, Breakthrough Collaborative, and Rock the Vote.
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