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AI / Data Scientist (AI, NLP, ML)



Software Engineering, Data Science
San Francisco, CA, USA
Posted on Wednesday, August 17, 2022

First, The Data!

  1. Over 1 million unique chat users
  2. Over 150 million conversation data points focused on mental health and emotional wellbeing
  3. Over 1.1 million manually labeled data points by our highly trained moderators
  4. Over 1.2 million data points on moods and emotions
  5. Over 480 thousand resources and services matched in real-time (patented)
  6. Over 10 real-time AI engines + Our own corpus and language models (patented)
  7. Double feedback loop from users and moderators for ML and fine tuning
  8. No hate/racism/trolls or other biases in the data, as all user chats supervised by our moderators

What Is Supportiv?

Supportiv is a peer-to-peer mental and emotional well-being platform that actively helps users with their everyday struggles, 24/7/365, at 1/10 the cost of therapy for true accessibility. Based on a multi-patented process, users are matched, according to their natural language expressed needs, and in less than one minute, to a dynamically formed peer group chat of max. 5 users, which is live moderated by a trained professional. As the chat unfolds, we understand more about what the user needs and precision-match hyper-relevant healthcare resources and services, in real-time.

Supportiv enables users to cope with, problem-solve, and heal from mental health struggles in an ultra user-friendly, practical, tactical way, outside the confines of the broken US mental health system, by harnessing the power of AI and natural language understanding (NLU).

Supportiv serves top employers and health plans, including two Fortune 10 companies. 92% of users rate the experience 4 or 5/5 stars, and we offer proprietary outcomes measurements unmatched in the industry.


  • Highly analytical, creative, and impact-oriented individual
  • Eager to apply artificial intelligence (AI) to solve real business problems
  • Pumped about analytics and extracting insights from the user interactions on the platform to guide data-driven product development and business decisions
  • Excited about leading and growing the team

Your Experience

  • 1+ years of experience leading teams and successful projects
  • 2+ years of post-grad experience in the field of Deep Learning and Natural Language Understanding
  • Master’s degree (PhD preferred) in deep learning or natural language processing (NLP), or other fields applying NLP/NLU techniques with publications in top-tier journals and conferences
  • Strong knowledge of modern NLU techniques such as RNNs, Transformers, BERT, GPT, Foundational NLP models, etc
  • Experience with common NLP/NLU packages and tools (NLTK, Spacy, Scikit-learn, Pytorch, Huggingface)
  • Experience with cloud computing technologies
  • Experience with developing and evaluating NLU models, deploying models into production, monitoring performance, and retraining as necessary
  • Strong communication and interpersonal skills

Supportiv’s Offer

  • Competitive compensation package with equity for eligible roles
  • Comprehensive health benefits for you (100% paid) and your dependents, including vision and dental, for full-time, US-based employees
  • 401k with vested match for full-time, US-based employees
  • Remote and location agnostic within US time zones
  • Flexible work, time-off and company-wide PTO time periods
  • Free, unlimited use of Supportiv’s anonymous peer support
  • Collaborate in a multidisciplinary, close-knit, all-star team
  • Learning and development budget for conferences and courses
  • In-person team gatherings with a team building, non-work emphasis

Interview Process

  • [30 min] Initial screen
  • [1 day] Take-home programming challenge
  • In-depth interview stages:
    • [60 min] Technical deep learning interview
    • [30 min] Technical programming interview
    • [30 min] Value and cultural fit interview
    • [60 min] Debrief with company Co-Founders/CEO
  • Reference check and make you an offer

If you think you’re a great fit for this role, let us know why! Send your resume and cover letter to [email hidden].