LLM Post Training

Qualifications: Advanced degree in computer science, computational linguistics, or related field Strong programming skills in Python and experience with ML frameworks Demonstrated experience with language model evaluation and optimization Ability to solve complex problems independently and collaboratively Preferred

Qualifications: Experience in gaming or interactive entertainment applications Background in developing evaluation metrics for generative AI systems Familiarity with large-scale data processing and analysis Publications or patents in relevant AI fields Creative Video Generation San Francisco, CA or Remote | Full Time + We're seeking an innovative AI engineer to advance our video generation capabilities. You'll work on developing systems that can create dynamic, high-quality video content for gaming applications using cutting-edge generative models. Key

Responsibilities: Research and implement state-of-the-art video generation algorithms Develop efficient data representation techniques for video synthesis Create systems for text-to-video and image-to-video transformation Build personalization features for user-specific content generation

Qualifications: PhD or equivalent experience in computer vision, machine learning, or related field 3+ years working with generative models for visual content Strong understanding of diffusion models, transformers, and other generative architectures Experience with large-scale model training and optimization Preferred

Qualifications: Experience with video processing at scale Knowledge of game engine integration for real-time content generation Background in computational creativity or procedural content generation LLM Post Training San Francisco, CA or Remote | Full Time + Join our team to focus on refining and specializing large AI models for gaming applications. You'll work on techniques to make our models more responsive, creative, and aligned with gaming contexts. Key

Responsibilities: Develop advanced fine-tuning methodologies for large language models Implement reinforcement learning techniques to improve model behavior Create specialized training datasets for gaming-specific applications Research novel approaches to model alignment and instruction following

Qualifications: Advanced degree in AI, machine learning, or related technical field Experience with model fine-tuning and optimization techniques Strong understanding of reinforcement learning from human feedback Excellent programming skills and familiarity with deep learning frameworks Preferred

Qualifications: Background in gaming AI or interactive narrative systems Experience with advanced optimization algorithms Proven experience in transitioning research prototypes into production-ready solutions Knowledge of efficient inference techniques for large models Company

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