Applied AI Engineer

What you'll do

• Design applied research programs focused on model reliability, inference cost, and output quality; build evaluations of agents’ full action sequences.
• Contribute to how automated assistants store, retrieve, and use prior information.
• Turn research findings into production infrastructure and help set applied research priorities.

What they ask for

• Experience at high-growth technology companies or AI research labs.
• A practical record of building sophisticated automated software and networked computing systems.
• Background designing testing tools to measure automated assistants’ performance.
• Proficiency in Python; a background from a top university; and a demonstrable track record such as an Olympiad result, major hackathon win, widely used open-source project, or published AI research.

Nice to have

• Quantitative analytics background, including work in finance.
• Experience with knowledge graph systems, reinforcement learning for agents, production machine learning, or post-training of models.

Pay

USD $200K to $275K per year (base salary)

Tools

Python, knowledge graph systems, reinforcement learning, production machine learning

AI focus

Applied AI research and production engineering for reliable agents, including evaluation, inference cost, output quality, and assistant memory.