FL105 is pioneering the use of artificial intelligence to transform mental health paradigms and pioneer a new category of psychological fitness, aiming to empower individuals and communities to preemptively identify and tackle psychological challenges and address mental health concerns.
Requirements
- Deep understanding of LLMs, transformer architectures, and agentic behavior modeling
- Experience working with interactive systems, agent memory architectures, or simulation environments
- Strong track record of both hands-on research and technical leadership
- Fluent in experimental design, modeling, and ML pipeline development (e.g., PyTorch, JAX, etc.)
- Prior work in applied AI (e.g., product-facing ML, healthtech, behavior modeling) is a plus
Responsibilities
- Lead R&D efforts across LLM-based agents, personality modeling, and simulations
- Develop and refine methods for dynamic emotional state modeling, and long-horizon agentic behavior
- Work closely with product and engineering teams to integrate research into product modules and user-facing experiments
- Oversee internal research roadmap and external collaborations
- Build and mentor a small team of ML scientists and research engineers
- Translate abstract psychological constructs into computational architectures, embeddings, or evaluable metrics
Other
- PhD in Computer Science, Computational Neuroscience, Machine Learning, Cognitive Science, or similar quantitative discipline with 5+ years of industry experience.
- Successful candidates will be able to thrive in a fast-paced, action-oriented, team environment and display a clear passion for AI innovation and impact.
- The candidate must be an entrepreneurial, highly motivated, and purpose-driven individual.
- The successful candidate will have a track record of building consumer applications or large internal applications.
- S(he) must exhibit strong collaboration and communication skills.
- S(he) should be ready to lead application development in a very dynamic and innovative environment.
