Senior Machine Learning Engineer - LLM

Samson Rose has been exclusively engaged by stealth mode, funded startup with a noble mission: to develop the first purpose-built, Large Language Models (LLMs) and datasets designed specifically for psychotherapy.

We are tasked with finding a Senior Machine Learning Engineer to join their expanding team. This role is crucial to the business and the person they hire will build their LLM to be robust in a chatbot environment. The product/service is impactful and is making mental healthcare accessible and convenient to the masses. This is not replacing therapists but further assisting them and creating a better experience for the end users.

Are you fascinated by the nexus of AI research and practical application? Do you harbor a deep-seated passion for mental health innovation? If you're nodding yes, then you might just be the talent we're searching for.

A little about them:

1. Founded by repeat AI and Healthcare founders who have founded and run unicorns with successful exits.
2. Recently closed a healthy pre-seed round and have a timeline for later this year for their next round.
3. They are developing the first purpose-built LLM and datasets for psychotherapy to deploy them in the most safety-minded way to enable therapists and AI to collaborate on helping patients in need.
4. Their vision is to revolutionize the therapist-patient dynamic, enhancing the capabilities of mental health professionals with AI-powered tools designed for the utmost safety and efficacy.
5. This role will work directly with both founders.
6. One of the founders and the Chief Scientist are lecturers at Stanford including for one of the most coveted courses. You will also work closely with their lab.
7. This is an opportunity to apply AI in the real world today as well as the academic and clinical aspects too.
8. They have an initial MVP in the market.

The person they are looking for:

1. Wants to work in a startup. Has an understanding and excitement of the dynamics of an early-stage startup.
2. Wants to do the work that is impactful for people's lives.
3. Someone who wants to win. Not just smart but also have a relentless drive in the work they do.
4. Must have worked on challenging ML at its core problems.
5. Knows how to tweak models and has experience fine-tuning or training small models, making actual adaptations to models.
6. Has a deep familiarity with LLMs and has built things with them before - even in an experimental environment.
7. Has experience and abilities to rapidly prototype new models (via supervised fine-tuning or similar methodologies) and validate them.
8. Experience with RLHF and other feedback methodologies as well as managing red-teaming efforts.
9. The mentality and ability to roll up their sleeves and work with other engineers/departments.