AI / Data Scientist (AI, NLP, ML)

Supportiv; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Dental coverage

Vision coverage

401(k) match

Equity for eligible roles

Learning & development budget

Job summary

Supportiv seeks a senior ML/NLP engineer to apply deep learning and NLU techniques to a large, human-supervised dataset of peer support conversations, moods, and resources. You will help lead a growing team and inform product decisions while building robust models and deploying them to production.

You will analyze user interactions to surface insights, evaluate models, and collaborate across product and business teams in a fully remote role within US time zones.

Qualifications

• 2+ years postgraduate experience in deep learning and natural language understanding.
• At least 1 year leading teams and delivering successful projects.
• Master's degree in deep learning, NLP, or a related field applying NLP/NLU; a PhD is preferred.
• Strong knowledge of modern NLU methods, including transformers and foundational language models.
• Experience with NLP tools such as NLTK, spaCy, scikit-learn, PyTorch, or Hugging Face.
• Experience with cloud computing and the full model lifecycle, from evaluation through production monitoring and retraining.
• Strong analytical, communication, and interpersonal skills.

Responsibilities

• Analyze user interactions to surface insights for product development and business decisions.
• Develop and evaluate deep learning and natural language understanding models.
• Deploy models to production, monitor their performance, and retrain them as needed.
• Apply AI to practical business problems in a mental and emotional well-being service.
• Lead projects and contribute to growing the team.

Skills

Deep learning

NLU

Team leadership

Transformers

Communication

Interpersonal skills

Publications

Education

Master's degree in deep learning or NLP or related field

PhD preferred

Tools

NLTK

spaCy

scikit-learn

PyTorch

Hugging Face

AWS / cloud

Job description

Role overview

Apply machine learning and natural language understanding to a large, human-supervised dataset of peer support conversations, moods, and resource matches. The role combines model development with analysis of user interactions to inform product and business decisions, with an expectation of helping lead and grow the team.

Responsibilities

• Analyze user interactions to surface insights for product development and business decisions.
• Develop and evaluate deep learning and natural language understanding models.
• Deploy models to production, monitor their performance, and retrain them as needed.
• Apply AI to practical business problems in a mental and emotional well-being service.
• Lead projects and contribute to growing the team.

Requirements

• At least 2 years of postgraduate experience in deep learning and natural language understanding.
• At least 1 year leading teams and delivering successful projects.
• A master's degree in deep learning, NLP, or a related field applying NLP/NLU; a PhD is preferred. Publications in leading journals or conferences are expected.
• Strong knowledge of modern NLU methods, including transformers and foundational language models.
• Experience with NLP tools such as NLTK, spaCy, scikit-learn, PyTorch, or Hugging Face.
• Experience with cloud computing and the full model lifecycle, from evaluation through production monitoring and retraining.
• Strong analytical, communication, and interpersonal skills.

Benefits and work setup

• Remote work within US time zones, with flexible work arrangements and time off.
• Full-time US-based employees receive health, vision, and dental coverage for themselves and dependents, plus a vested 401(k) match.
• Competitive compensation, with equity for eligible roles.
• Learning and development budget, team gatherings, and access to the service's peer support offering.