Applied AI Researcher, Post-Training

📋 Description

• Post-Training team adapts foundation models to real-world performance and alignment.
• Develop/evaluate supervised fine-tuning, preference optimization (DPO/RLHF/RLAIF), continual
• Bridge raw model capability with trustworthy, contextually aligned system behavior.
• Align large models with human and system-level objectives across industries.
• Explore trade-offs between generalization, data efficiency, robustness, capability and
• Leverage AI-native tools to accelerate research workflows.

🎯 Requirements

• Deep understanding of post-training techniques: supervised fine-tuning, RLHF/DPO, LoRA/PEFT
• Experience adapting frontier models to specialized domains via data curation or reward modeling.
• Strong ability to build prototypes and run experiments to prove effectiveness to enterprise
• Experience with compound AI systems, agentic collaboration, ensembling, ReAct, graph-of-thoughts
• Proven track record of research results (publications, notable work).
• Daily use of AI tools (ChatGPT, Cursor, Perplexity) to accelerate workflows.

🎁 Benefits

• Salary: $150K – $250K base, plus meaningful equity and comprehensive benefits.
• 100% coverage of medical, dental, and vision for dependents.
• Flexible time off and retirement benefits, including 401(k) and HSA/FSA options.
• Wellness programs and in-office meals; access to state-of-the-art AI models/tools.
• Opportunity to own high-impact projects across top enterprises.
• Hybrid work model with in-office days; supportive, mission-driven culture.