Applied Research Lead: Frontier Model Evaluations & Data

Proximal; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Proximal is building evaluation-focused research systems for frontier AI models and is seeking Applied Researchers to help customers build evals, identify weaknesses, and curate post-training data. This role lets you lead projects and act like a founder within Proximal.

As part of the team, you will experiment with new training data to improve targeted capabilities, analyze frontier model performance on internal tasks, and coordinate with customers and internal teams to meet requirements with

Qualifications

• Strong technical and engineering abilities.
• Creative problem solver with experimental instincts.
• Strong research judgment to identify directions.
• Self-directed, autonomous work style.
• Execution at high speed with quality.

Responsibilities

• Experiment with new training data to improve a targeted model capability and post-train models to demonstrate improvements.
• Analyze the performance of frontier models on internal tasks to identify weaknesses and communicate them to customers.
• Own a project end-to-end by specifying requirements with customers and coordinating internal teams to ensure that these requirements are met.

Skills

Technical and engineering abilities

Experimental instincts

Research judgment

Self-directed

Ownership and accountability

Job description

Proximal is building evaluation-focused research systems for frontier AI models and is seeking Applied Researchers to help customers build evals, identify weaknesses, and curate post-training data. This role lets you lead projects and act like a founder within Proximal.

As part of the team, you will experiment with new training data to improve targeted capabilities, analyze frontier model performance on internal tasks, and coordinate with customers and internal teams to meet requirements with