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Senior Machine Learning Engineer - Remote Eligible

Build scalable NLP models to improve real-time mental health resource matching
Remote
Senior
1 month ago

Supportiv

First, the data!

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

What is Supportiv?

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

Your Experience

2+ years leading teams and successful projects

7+ 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

Supportiv's Offer

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

Interview Process

1 day Take-home programming challenge

In-depth technical interviews:

60 min System Design

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

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Senior Machine Learning Engineer - Remote Eligible
Remote
Engineering
About Supportiv