techire ai · 19 hours ago
Applied Scientist, Post-training (LLM, VLM, MLLM)
San Francisco Bay Area
Full-time
Hybrid
Mid, Senior Level
$200K/yr - $320K/yrTechire AI is a well-funded startup focused on developing domain-specific reasoning systems and agentic AI. The Applied Scientist role involves creating models that can reason and make verifiable decisions, with a focus on post-training large multimodal models and ensuring AI systems are aligned with human reasoning.
Staffing & Recruiting
Hiring Manager
Marc Powell
Responsibilities
Develop models that can reason, explain their logic, and make verifiable decisions across complex, high-stakes industries
Focus on post-training large multimodal models, applying the latest techniques in RLHF, DPO, and preference learning
Design frameworks that turn raw model potential into transparent, trustworthy intelligence
Develop and optimise post-training pipelines, implement reward modelling for reasoning depth and factual accuracy, and build evaluation frameworks for verifiable, human-aligned behaviour
Run end-to-end experiments and deploy methods directly into production
Qualification
Required
Background in transformer-based model training (LLM, VLM, MLLM)
Experience in post-training or alignment (RLHF, DPO, reward modelling)
Strong practical skills in Python and PyTorch
Curiosity about reasoning agents, hybrid learning, and interpretability research
Preferred
Experience in multimodal reasoning
Experience in evaluation and verification
Prior research contributions in alignment or reasoning systems
Benefits
Bonus
Stock
Benefits
Company
techire ai
Techire AI - Your Gen AI Hiring Partner.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase