Why Join Us
- Work at the frontier of LLM research and human-centered AI interaction.
- Fully remote with asynchronous workflows — focus on results, not meetings.
- Visa sponsorship and relocation support available.
- For U.S. employees: 100% covered health insurance, 401k with 5% matching, and equity.
- High-growth startup environment with meaningful ownership and impact.
- Work on one of the most life-enhancing AI use cases at scale.
Responsibilities
- Train and fine-tune large language models for emotionally intelligent, responsive AI behavior.
- Innovate in Retrieval-Augmented Generation (RAG) and post-training personalization.
- Build scalable, high-performance ML systems for real-time applications.
- Translate research into production-grade implementations used by millions.
- Monitor and evaluate model performance based on real user interaction.
- Actively engage with user feedback from Reddit, Discord, and other channels.
Ideal Candidate
- Proven experience training large language models (LLMs) with a focus on personalization.
- Proficiency with tools such as vLLM, Axolotl, TRL, or similar ML libraries.
- Hands-on experience in Multinode Training, Reinforcement Learning, Test Time Compute, or Retrieval-Augmented Generation.
- Strong coding ability and experience shipping robust ML pipelines.
- Passion for building meaningful AI experiences and improving mental wellness.
- Willingness to engage with users to gather feedback and improve models iteratively.
- High standards for technical quality and personal performance.
Technical Skills Required: Python, Machine Learning, Artificial Intelligence, Deep Learning, Reinforcement Learning, PyTorch, Retrieval-Augmented Generation (RAG)
Hiring Process
- Step 1: Introductory call with our CEO
- Step 2: Remote technical interview
- Step 3: Short take-home project
Compensation and Equity
- Salary Range: $130,000 – $190,000 annually
- Equity Range: 0.1% – 0.3% ownership
