Machine Learning Engineer Tech Lead
Supportiv
This job is no longer accepting applications
See open jobs at Supportiv.See open jobs similar to "Machine Learning Engineer Tech Lead" Greycroft.- Million unique chat users
- Billions of conversation data points focused on mental health and emotional well-being.
- Million manually labeled data points by our highly trained moderators
- Million data points on moods and emotions
- Over half a million resources and services matched in real-time (patented)
- State-of-the-art AI engines, including modern NLP architectures such as Retrieval-Augmented Generation (RAG) and agentic workflows, alongside our proprietary corpus and language models (patented)
- Advanced double feedback loop from users and moderators for fine-tuning and continuous learning
- Bias-free environment: No hate, racism, or trolling— moderators actively supervise all user chats
Supportiv is a peer-to-peer mental and emotional well-being platform that provides real-time support for everyday struggles, 24/7/365, at 1/10 the cost of therapy, ensuring true accessibility.
Our multi-patented matching process connects users within a minute to dynamically formed, live-moderated peer group chats (max. five users), based on their natural language-expressed needs. As conversations unfold, we intelligently refine our understanding and precision-match users with the most relevant healthcare resources and services in real time using RAG-powered retrieval systems and adaptive agentic flows.
Supportiv empowers users to cope, problem-solve, and heal in a highly user-friendly, practical way—outside the constraints of the broken US mental health system—by harnessing advanced AI and modern NLP techniques.
Our solutions serve top employers and health plans, including two Fortune 10 companies. 92% of users rate their experience 4 or 5/5 stars, and we provide proprietary outcome measurements unmatched in the industry.
You:
- Highly analytical, creative, and impact-driven
- Passionate about applying AI and NLP to solve real-world problems
- Excited about data-driven insights that inform product development and business decisions
- A strong leader and mentor, eager to grow and guide a team
- 1+ years leading teams and successful projects
- 2+ years post-grad experience in Deep Learning and NLP
- Master’s degree (PhD preferred) in deep learning, NLP/NLU, or related fields with publications in top-tier journals/conferences
- Strong expertise in modern NLP approaches, including:
- Transformers, BERT, GPT
- Recommendation and RAG systems
- Agentic workflows and autonomous AI-driven decision-making
- Contextual AI and multi-modal learning techniques
- Proficiency with common NLP libraries and tools:
- Hugging Face, PyTorch, TensorFlow, LangChain, Scikit-learn, SpaCy, NLTK
- Experience with cloud computing technologies and scalable AI architectures
- Proven ability to develop, evaluate, deploy, and monitor NLP models in production
- Strong communication and collaboration skills
- Competitive compensation package with equity for eligible roles
- Comprehensive health benefits (100% employer-paid for you and dependents, including vision & dental)
- 401k with vested match (for full-time US-based employees)
- Fully remote, flexible work schedule within US time zones
- Generous PTO & company-wide breaks
- Free, unlimited use of Supportiv’s anonymous peer support
- Learning and development budget (conferences, courses, and professional growth opportunities)
- In-person team gatherings focused on collaboration and team-building
- [1 day] Take-home programming challenge
- In-depth technical interviews:
- [60 min] System Designg
- [30 min] Deep Learning/NLP Interview
- [30 min] Technical Programming Interview
- [30 min] Cultural & Values Fit Interview
- [30 min] Debrief with Founder/CEO
- Reference Check & Offer
This job is no longer accepting applications
See open jobs at Supportiv.See open jobs similar to "Machine Learning Engineer Tech Lead" Greycroft.