Train, fine-tune, and optimize large language models powering AI companion and conversational systems at scale.
Design and maintain agentic frameworks and LLM orchestration systems, including reasoning loops and chat orchestration.
Research state-of-the-art NLP techniques and implement alignment methods such as RLHF and DPO to improve model quality.
We are an AI-powered job matching platform that connects candidates with hiring companies through objective, fair review processes. As a globally distributed, innovation-focused company, we foster a collaborative engineering culture with continuous learning opportunities.
Be part of the alignment research team, working on projects selected for their high upside potential and under-resourced status.
Do real alignment research with real autonomy, in directions most organizations aren’t set up to pursue.
Break complex problems into concrete experiments and execute on them, independently or with a team.
AE Studio is a 160-person, fully bootstrapped ML consultancy that has spent over a decade building and shipping AI systems for clients. Without outside investors, we put money into alignment research through the AI Alignment Foundation, a nonprofit we founded to scale this work.
Design, develop, test, and deploy AI/ML models and applications including NLP pipelines, predictive models, recommendation engines, and intelligent automation workflows.
Build and integrate large language model (LLM) powered features using APIs such as OpenAI, Azure OpenAI, or Anthropic; implement retrieval-augmented generation (RAG) patterns and AI agent workflows.
Develop and maintain data pipelines that support model training, fine-tuning, evaluation, and real-time or batch inference.
ExtensisHR is a Professional Employer Organization (PEO) in the U.S. with client employees in all fifty states. They deliver personalized HR services for HR, employee benefits, payroll and taxes, employer risk, compliance, and employee management.
Conduct advanced research on agentic AI systems trained on real-world interaction data.
Design and experiment with learning frameworks such as RAG, fine-tuning, RLHF, DPO, and GRPO.
Develop multimodal representation learning approaches across text, audio, logs, and structured data.
Our partner is a global AI research organization focused on developing cutting-edge agentic and multimodal AI systems. It offers a collaborative environment with top-tier engineering and product teams.