Senior Machine Learning Engineer

Job Description

Job Description

Salary: 180k-250k annually

Company Description

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 wayoutside the constraints of the broken US mental health systemby 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.

Role Description

This is a full-time remote role for a Senior Machine Learning Engineer. The Senior Machine Learning Engineer will design, develop, and implement machine learning models and algorithms to improve our AI/NLP-driven support services. Day-to-day tasks will include enhancing our proprietary language models. The role also involves collaborating with cross-functional teams to integrate and optimize machine learning solutions, ensuring operational efficiency and effectiveness.

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
• Masters 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 shared 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

Supportivs Offer

• Competitive compensation package with equity for eligible roles ($180k-$250k based on location and experience)
• Comprehensive health benefits (100% employer-paid for you and dependents, including vision & dental)
• 401 (k) with vested match (for full-time US-based employees)
• Fully remote, flexible work schedule within US time zones
• Generous PTO & company-wide breaks
• Unrestricted, unlimited use of Supportivs 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 debrief with founder/CEO

Reference check & offer