Staff Machine Learning Engineer, Conversational AI

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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! 

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About the Role 

We are looking for an outstanding machine learning engineer who is passionate about helping to improve the accessibility of mental health care. You will be working closely with our data science, product, engineering and care teams as you build and maintain conversational AI models that improve the wellbeing of our members.

Responsibilities

• 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 assistants at Headspace Health

Qualifications

• 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

Ideal

• 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.