Senior Applied Scientist, Alignment/Fine-Tuning

At Wizards AI in Central Technology, we build high-value, scalable solutions that enable our game teams to build better development tools and new experiences. AI is the new frontier of development, and we are passionate about responsible AI and ensuring human creativity is protected while providing useful tools and processes for our partners. We are looking for a versatile and dedicated Senior Applied Scientist, Alignment/Fine-Tuning who focuses on crafting shared technology using modern AI techniques in games and game development tools. In this role, you will be working with a team to develop AI solutions in a collaborative and creative environment with partner teams and helping to grow our capabilities in AI technologies.

What You'll Do:

• Work closely with internal and external teams to define and drive the technical landscape of the AI integrations in our tools, pipelines, and game products.
• Advocate for responsible and ethical AI, working closely with teams to build positive and safe systems for usage across our products.
• Research and apply innovative machine learning models to drive alignment of LLMs and similar technology with player goals and values.
• Design, build, and deploy systems for intelligent generation of player assistance, tutorials, and NPC behaviors.

What You'll Bring:

• PhD in NLP, machine learning; post graduate degree in a related field with applicable job experience of 2+ years; or equivalent experience.
• Experience with prompt engineering, chaining, and agent-based workflows for large language models.
• Conceptual understanding of how language models are trained and fine-tuned.
• Knowledge of major advancements in AI and able to learn new methods from research papers or documentation to apply to our work.
• Proficiency with Python and/or TypeScript.

Nice to Have:

• Background in AI safety, responsible AI, or similar fields (e.g. constitutional AI, model interpretability, etc.).
• Experience with game AI and/or reinforcement learning.
• Peer reviewed publications or code repositories in related fields.

Compensation Range, Currency USD:

• Starting Pay Range: $136,200
• Pay Range End: $204,200