Staff Software Engineer, Machine Learning
Posted on July 20, 2025 (about 16 hours ago)
About the Staff Software Engineer, Machine Learning at Headspace:
The Headspace Machine Learning team plays a pivotal role in driving innovation, developing and launching key product features, and creating internal tools that power the mission. They are at the forefront of transforming mental healthcare through AI and ML to make a meaningful difference in people's lives.
As a member of the ML Platform team, the engineer will build foundational tools and systems that empower ML engineers to deliver high-impact solutions efficiently and at scale. The goal is to develop, deploy, and maintain robust, resilient, and high-performing ML systems faster than ever before with a seamless pipeline from innovation to production.
Role responsibilities include leading in shaping the vision and architecture of the core ML Platform, driving decisions for how ML systems are built, scaled, and deployed at Headspace, and spearheading initiatives to enhance productivity, scalability and support the mission to improve health and happiness.
Location: Hybrid role in San Francisco office, 3 days per week in-office.
What you will do:
- Shape ML Platform Architecture: Drive design, development, and evolution of the internal ML platform from vision to implementation.
- Engineer Scalable Systems: Build and support complex, scalable, multi-component data and ML systems integrated across the organization.
- Automated Model Lifecycle Management: Develop frameworks for continuous retraining of models for online learning and adaptive improvements.
- Collaborative Problem-Solving: Partner with cross-functional teams to align technical decisions with organizational goals.
- Technical Leadership: Serve as a mentor and expert in AI/ML engineering inspiring technical growth.
- Champion Code Quality: Advocate and contribute to high-quality engineering standards via code reviews and feedback.
What you will bring:
Required Skills:
- Bachelor's or Master’s degree in Computer Science, Engineering, or related field or equivalent experience.
- Exceptional problem-solving and communication skills to influence decisions and drive alignment.
- Proven track record designing and delivering robust, scalable, reliable services in production.
- Passion for technical excellence, continuous learning, and innovation.
- 5+ years DevOps experience with AWS services including SageMaker, Lambda, S3, DynamoDB, IAM.
- Proficiency with Infrastructure as Code tools like Terraform and languages like TypeScript.
- Strong background in unit, integration, end-to-end testing and CI/CD workflows.
- 2+ years MLOps experience developing, standardizing, and automating ML workflows.
- Hands-on experience managing ML systems in production ensuring reliability and scalability.
- Proficiency in object-oriented programming and design, especially Python.
- Experience driving ML initiatives from inception to deployment with measurable business impact.
Preferred Skills:
- Strong knowledge of AI/ML technologies including supervised and unsupervised learning, deep learning, reinforcement learning.
- Hands-on experience building applications leveraging Large Language Models (LLMs).
- Interest in applying technical skills to solve challenges in mental health, healthcare, or related fields.
Pay & Benefits:
The base salary range for this full-time position is $140,400 to $224,250 plus equity and benefits. Salary varies by job level, location within the US, experience, skills, and education.
Headspace offers a robust Total Rewards package including base salary, stock awards, healthcare coverage, wellness stipend, retirement match, lifetime membership, generous parental leave, and more.
About Headspace:
Headspace provides access to lifelong mental health support through evidence-based content, clinical care, and innovative technology helping millions worldwide.
Values are Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. They foster a connected, human-centered culture redefining mental health care.
Why You’ll Love Working Here:
- Mission with visible impact
- Collaborative, inclusive culture grounded in values
- Chance to shape future mental health care
- Competitive pay and benefits supporting the whole self
Diversity, Equity, Inclusion and Belonging:
Committed to a safe, welcoming, diverse and inclusive workplace free from discrimination and harassment where everyone thrives. Equal opportunity employer without unlawful discrimination. Reasonable accommodations provided for disabilities.
To apply for the Staff Software Engineer, Machine Learning position at Headspace, please visit the job posting page and submit your application through the provided application form. Ensure that you meet the hybrid work requirement of being in the San Francisco office 3 days a week. The office address is 525 Market Street, San Francisco.
For assistance with the application or interview process due to disability accommodations, candidates are encouraged to inform the Talent team by filling out the linked form in the job description.
Headspace is an equal opportunity employer committed to diversity and inclusion. Additional information about privacy and ethical guidelines for applicants with current or past relationships with Headspace is available on their website.