Компания "Negotiations Expert"
The Negotiation Experts, a global leader in B2B training for over 20 years, is seeking an experienced ML & LLM Programmer for a multi-stage, long-term contract project. We’ve developed the world’s most advanced scored negotiation simulation game platform and have gathered hundreds of completed games from client training courses. We are looking for someone to help us enhance and scale the platform using machine learning (ML) and large language models (LLMs).
Project Stages
● Identify and quantify the factors or feature importance responsible for the best negotiation deal outcomes, using our corpus of hundreds of completed human sim games.
● Use the factors you’ve identified and their weightings to see if a reinforcement learning (RL) model can negotiate against itself. This will require connecting with our sim’s back end via an API.
● If RL isn’t sufficiently successful, then switch to an ML model to create a computer player.
● Adding an LLM to the RL/ML model to improve decisions, and to add the ability to chat while negotiating.
● Creating multiple computer players, with varying strengths, styles (e.g. collaborative vs. competitive), and personalities.
● Create an LLM coach to deliver feedback during and after a negotiation.
● Create a player rating or type of ELO system.
Requirements
● Proven programming experience with ML and LLMs.
● Experience working with reinforcement learning models and machine learning frameworks (e.g., TensorFlow, PyTorch).
● Familiarity with API integration and working with backend systems.
● Strong communication skills in English.
● Ability to work autonomously and manage multiple stages of a long-term project.
● Experience in game development and/or AI-based game simulation is a plus.
Benefits
● Work from anywhere – enjoy the freedom and flexibility of a remote position.
● Flexible working hours – set your own schedule.
● Collaborative and long-standing team – most of our team has been with us for years.
● Opportunity to work on a meaningful, business-focused game with a global impact.
● Competitive compensation based on experience.
How to Apply
Please share your LinkedIn profile and your CV.