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:
- Founded by repeat AI and Healthcare founders who have founded and run unicorns with successful exits.
- Recently closed a healthy pre-seed round and have a timeline for later this year for their next round.
- 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.
- 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.
- This role will work directly with both founders.
- 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.
- This is an opportunity to apply AI in the real world today as well as the academic and clinical aspects too.
- They have an initial MVP in the market.
The person they are looking for:
- Wants to work in a startup. Has an understanding and excitement of the dynamics of an early-stage startup.
- Wants to do the work that is impactful for people's lives.
- Someone who wants to win. Not just smart but also have a relentless drive in the work they do.
- Must have worked on challenging ML at its core problems.
- Knows how to tweak models and has experience fine-tuning or training small models, making actual adaptations to models.
- Has a deep familiarity with LLMs and has built things with them before - even in an experimental environment.
- Has experience and abilities to rapidly prototype new models (via supervised fine-tuning or similar methodologies) and validate them.
- Experience with RLHF and other feedback methodologies as well as managing red-teaming efforts.
- The mentality and ability to roll up their sleeves and work with other engineers/departments.
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