Staff Software Engineer, Headspace Health
Machine Learning
+ Stock Options
Mental health and wellbeing platform
Open for applications
Mental health and wellbeing platform
1001+ employees
Open for applications
+ Stock Options
1001+ employees
Company mission
To transform mental healthcare to improve the health and happiness of the world.
Role
Who you are
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience
- Exceptional problem-solving abilities with the communication skills to influence decisions across teams and drive alignment
- Proven track record in designing and delivering robust, scalable, and highly reliable services in production environments
- A deep passion for technical excellence, continuous learning, and innovation
- 5+ years of DevOps experience, with hands-on expertise in AWS services, including SageMaker, Lambda, S3, DynamoDB, and IAM
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform and development languages like TypeScript
- Strong background in implementing unit, integration, and end-to-end testing, along with setting up and managing CI/CD workflows
- 2+ years of experience in MLOps, including developing, standardizing, and automating machine learning workflows
- Hands-on experience managing machine learning systems in production, ensuring reliability and scalability
- Proficiency in object-oriented programming and design, particularly in Python
- Experience driving ML initiatives from inception to deployment, with a focus on measurable business impact
Desirable
- Strong knowledge of AI/ML technologies, including supervised and unsupervised learning, deep learning, and reinforcement learning
- Hands-on experience building applications leveraging Large Language Models (LLMs)
- A genuine interest in applying technical skills to solve challenges in mental health, healthcare, or related fields
What the job involves
- In your role as a Staff Machine Learning Engineer, you will take the lead in shaping the vision and architecture of our core ML Platform.
- You will drive key decisions that define the future of how ML systems are built, scaled, and deployed at Headspace.
- By combining your technical expertise with strategic foresight, you will spearhead initiatives that enhance productivity, ensure scalability, and support our mission to improve the health and happiness of the world
- Shape ML Platform Architecture: Drive the design, development, and evolution of our internal ML platform, taking it from high-level vision to robust implementation
- Engineer Scalable Systems: Build and support complex, scalable, and multi-component data and ML systems that integrate seamlessly across the organization
- Automated Model Lifecycle Management: Develop frameworks for continuous retraining of production models, enabling online learning and adaptive system improvements
- Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions with organizational goals, ensuring cohesive and impactful solutions
- Technical Leadership: Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth
- Champion Code Quality: Advocate for and contribute to high-quality engineering standards through rigorous code reviews and constructive, actionable feedback
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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