Career | Senior Machine Learning Engineer | Mentalyc

Senior Machine Learning Engineer



  • Job Type: Full-Time
  • Function: Data Science
  • Industry: HealthTech/Digital Health
  • Post Date: 02/12/2024
  • Website:
  • 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.


  • 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.


  • 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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