Staff/Principal Ai Researcher

Summary

Join Inworld, a leading AI engine for games and interactive media, as a Staff or Principal AI Researcher. You will be at the forefront of advancing our AI capabilities by developing state-of-the-art models and contributing to cutting-edge research in artificial intelligence. This role involves exploring novel ideas, training large-scale models, and collaborating with researchers and engineers. The ideal candidate possesses a PhD or equivalent experience in a related technical field, a strong background in machine learning research, and experience with large model training. Inworld offers a competitive salary, equity, and benefits. The position is based in Mountain View, CA, or remote within the United States.

Requirements

• PhD or equivalent experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
• Strong background in machine learning research, demonstrated by publications or significant contributions to the field
• Experience in training large models and working with state-of-the-art approaches in machine learning
• Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX
• Knowledge of advanced AI architectures, including transformers, diffusion models, and reinforcement learning techniques
• Programming skills in Python or similar languages

Responsibilities

• Conduct cutting-edge research to advance our AI models and capabilities
• Develop and implement novel machine learning techniques, experimenting with new architectures and algorithms
• Train and evaluate large-scale ML models, optimizing for quality, latency and cost
• Collaborate with cross-functional teams, sharing insights and integrating research findings into our products
• Communicate results internally and publicly, contributing to the broader AI community
• Mentor junior researchers and engineers, fostering a culture of learning and collaboration

Preferred Qualifications

• Familiarity with pre-training, fine-tuning and evaluating LLMs such as LLaMA, Mistral, Qwen, etc., is a significant plus
• Have a track record of innovating and improving machine learning algorithms
• Are passionate about understanding and developing model architectures, and enjoy performing careful empirical research
• Own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-term projects
• Enjoy collaborating in a team environment, working together to make significant discoveries
• Are excited about staying up-to-date with the latest advancements in machine learning research and its applications
• View research and engineering as two sides of the same coin, engaging in both to achieve your goals

Benefits

• Equity
• Benefits