Pelago is looking to define how generative AI transforms behavioral healthcare by applying advanced machine learning to rethink how mental health care is accessed, personalized, and delivered at scale.
Requirements
- Experience developing applied ML/AI systems, ideally in healthcare or other regulated, high-stakes domains
- Skilled in training and post-training large language models using frameworks like PyTorch or TensorFlow
- Deep understanding of modern ML (transformers, optimization, linear algebra); bonus for graph ML or computational neuroscience
- Proven ability to partner with product teams to shape research direction and ship high-impact prototypes
Responsibilities
- Lead the development of novel generative AI applications, from empathetic conversational agents to therapy-matching algorithms
- Work with a small, focused engineering team to bring a 0:1 product vision to life
- Advance the application of AI in behavioral health through rigorous, research-driven innovation
- Translate cutting-edge research into prototypes and features that inform product direction and support hypothesis-driven experimentation
- Post-train LLMs on proprietary, de-identified clinical and engagement data, leveraging both structured and unstructured modalities
- Define research methodologies and safety evaluation frameworks that contribute to best practices for responsible AI use in healthcare
- Collaborate closely with product, clinical, and engineering teams to test research previews, iterate in production, and ensure AI research translates into strategy and impact
Other
- This is a hybrid role with a high-collaboration rhythm (4 days/week in our NYC office).
- Strong communicator, able to explain complex technical ideas to cross-functional and executive audiences
- Bonus: Advanced degree (PhD or Master’s) and a track record of sharing work via publications, conferences, or internal thought leadership
- At this time, we are unable to offer visa sponsorship for this position.
