Headspace is looking to transform mental healthcare through cutting-edge technology by leveraging the power of AI and ML to make a meaningful difference in people’s lives.
Requirements
- 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.
- Strong knowledge of AI/ML technologies, including supervised and unsupervised learning, deep learning, and reinforcement learning.
Responsibilities
- 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.
- Champion Code Quality: Advocate for and contribute to high-quality engineering standards through rigorous code reviews and constructive, actionable feedback.
- Technical Leadership: Serve as a go-to expert and mentor, exemplifying excellence in AI/ML engineering and inspiring others to pursue technical career growth.
Other
- 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.
- A deep passion for technical excellence, continuous learning, and innovation.
- A genuine interest in applying technical skills to solve challenges in mental health, healthcare, or related fields.
- Location: This is a hybrid role located in our San Francisco office, working 3 days per week from the office.
