- Job Type: Full-Time
- Function: Engineering Software
- Post Date: 06/10/2025
- Website: www.mentalyc.com
- Company Address: San Francisco, California 94114, US
- Salary Range: $50,000 - $150,000
About Mentalyc
AI tools for therapists. Our first product is an AI-scribe, which extracts therapy notes directly from a video call (telemedicine), saving up to 30% of therapists' working time. We plan on further expanding into therapy analytics, helping therapists make better decisions.
Job Description
What We Offer:
- Be at the cutting edge of generative AI technology – we’re one of the first AI businesses in the Mental Health space!
- Enjoy the perks of full remote work and flexible hours, enabling a work-life balance that suits you.
- Learn from top-tier leadership, our CEO (ex-McKinsey, serial entrepreneur, psychology expert), and CTO (10 years in ML and full-stack dev).
- Join our dynamic, international team, making an immediate, tangible impact on our product and user experience.
- Chart a clear career trajectory in a rapidly growing mental health tech startup.
Responsibilities:
- Develop and enhance note-creation processes using advanced labeling and learning techniques.
- Build interfaces for clinical researchers to evaluate AI model outputs.
- Design and conduct experiments to improve the quality and cost-efficiency of note generation with various AI models.
- Implement and refine Question Answering and Knowledge Retrieval technologies, such as embeddings and RSA.
- Train and fine-tune Large Language Models (LLMs) specifically for clinical documentation and tracking therapy progress.
- Establish and maintain an efficient infrastructure for testing, benchmarking, and deploying AI models.
Requirements:
- Master's degree in Computer Science, AI, Deep Learning, or related field.
- Minimum 3 years of industry experience as an ML / DL Engineer, preferably in NLP.
- Skilled in Python and familiar with ML libraries like NumPy, Pandas, Scikit, PyTorch.
- Knowledge of Hugging Face, Docker, Transformer-type models, knowledge retrieval, knowledge graphs, Data Science, LLMs, GPT.
Nice to Have:
- Research experience, particularly in psychology.
- Experience working in the healthcare industry, preferably the mental health industry.
- Experience working directly with non technical stuff such as Product Manager, Design, Researchers
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