AI Research Scientist/Engineer at Phizenix

AI Research Scientist/EngineerMenlo Park, CA | On-Site | Full-Time/Direct Hire Client Opportunity | Through Phizenix (WBENC & Minority-Certified Recruiting Partner)Join a trailblazing AI startup that's reinventing how large language models are built—with diffusion-powered LLMs that generate faster, adapt smarter, and handle multimodal data like no other.We’re looking for a Research Scientist / Engineer who’s ready to move beyond traditional autoregressive methods and help shape the next wave of generative AI. You'll collaborate with pioneers in AI research, design novel model architectures, and scale your ideas from paper to production.What You'll Be DoingDesign and refine LLM architectures built on a diffusion-first paradigmDevelop cutting-edge training strategies and custom loss functionsTranslate research into real-world systems for enterprise-scale deploymentsExplore constraint-aware generation and controlled outputsPush the limits of model efficiency, scalability, and multi-modal capabilitiesMust-HavesPhD in Computer Science, Machine Learning, or a related fieldHands-on experience with PyTorch and LLM fundamentals (transformers, KV caching, etc.)Familiarity with diffusion models and distributed model trainingSolid research-to-production mindset with 2+ years in an ML/AI roleBonus Points ForTraining LLMs from scratch and optimizing large-scale runsAdvanced training tactics (e.g., mixed precision, gradient accumulation)Experience with cross-modal modeling and inference frameworks like vLLM, TensorRTA background in model efficiency, optimization theory, or infrastructure-aware researchAt Phizenix, we’re proud to partner with diverse and inclusive teams building AI that matters. If you're ready to build, innovate, and publish with one of the boldest teams in AI—this is your moment.California Pay Range$180,000 - $200,000 USD