Staff Machine Learning Engineer, Conversational AI

Headspace Health

United States Remote



Sep 4

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter! 


About the Role 

Play a part in cutting edge research into developing conversational AI to provide evidence-based care. At Headspace Health, you’ll work with people driven by a shared mission and find a unique opportunity to apply your skills and knowledge toward interesting problems while advancing the social good. We are looking for an exceptional machine learning engineer with a passion for solving hard problems through human-centered AI, to support our care teams in providing next-level care to our members through augmentation and automation. As a Staff MLE at Headspace Health, you will help set the research direction for the Conversational AI team and lead team members toward solving hard problems at the forefront of the field.


  • Work collaboratively with our care team, product team, and other stakeholders to build cutting edge conversational experiences to improve member wellbeing
  • Develop and deploy machine learning models and human-in-the-loop systems for natural language understanding (NLU), dialog management (DM), and natural language generation (NLG) to deliver therapeutic content and extend coach and clinician awareness of member goals, status, history and probable future conditions
  • Conduct statistical analysis of model performance using data collected in production and surface these insights through monitoring dashboards
  • Collaborate with engineers to deliver efficient algorithms and robust systems that scale to support millions of members
  • Participate in developing the technical direction for conversational AI at Headspace Health


  • Ph.D. in Computer Science, Computational Linguistics, Engineering, Informatics, or equivalent experience 
  • 5+ years of experience solving problems with Conversational AI in an academic or professional setting
  • 2+ years of experience deploying Conversational AI pipelines in production environments at scale
  • Strong knowledge and expertise with NLP libraries such as Rasa, SpaCy, 🤗 Transformers, Pytorch, etc.
  • Expertise in Natural Language Understanding, Dialogue Management, and/or Natural Language Generation
  • Experience with symbolic and neural dialogue management techniques
  • Strong foundations in statistics and mathematics


  • Strong publication record at top tier conferences for NLP and/or Conversational AI
  • Experience with learning from human-human conversational data at scale using unsupervised methods/reinforcement learning
  • Experience in knowledge grounded and/or persona-based models for conversational AI
  • Experience working in a public cloud environment like AWS, GCP, etc.
  • Experience in the healthcare space



How we feel about Diversity & Inclusion:


Headspace Health 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 Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.

Headspace Health participates in the E-Verify Program.

Headspace Health is committed to protecting the privacy and security of your personal data. Please view our privacy notice here. 

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Headspace Health

The world’s most accessible and comprehensive digital mental health and wellbeing platform.