Research Engineers, Post-Training

📋 Description

• Design and run post-training workflows that improve AI system behavior
• Develop datasets, preference signals, evaluation suites, reward models, and fine-tuning workflows
• Investigate how post-training techniques affect enterprise workflows and production constraints
• Build infrastructure for experimentation, model comparison, and regression testing
• Partner with AI Researchers/Engineers to apply methods in deployed systems
• Analyze model outputs and production traces to identify improvement opportunities

🎯 Requirements

• Experience improving model behavior with fine-tuning, preference optimization, reinforcement
• Strong programming and experimentation skills; ability to build training/evaluation pipelines
• Research-oriented builder with focus on understanding why behavior changes
• AI systems mindset: data, prompts, tools, retrieval, evaluators, deployment context
• AI-native working style with daily use of AI tools for coding, analysis, and debugging
• Ownership mentality and bias towards measurement; comfort with practical constraints

🎁 Benefits

• Base salary range $150K – $250K with equity and comprehensive benefits
• 100% medical, dental, and vision insurance for employee and dependents
• Flexible time off and retirement planning (401(k), HSA/FSA)
• Wellness benefits and family-building resources
• Complimentary in-office lunches and snacks
• Access to state-of-the-art AI models and tools