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Phizenix

AI Research Scientist/Engineer

Phizenix, Menlo Park, California, United States, 94029

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1 week ago Be among the first 25 applicants Menlo Park, CA | On-Site | Full-Time/Direct Hire

Seeking top-tier PhDs (Bay Area preferred) with ICML/ICLR publications in LLM training and inference optimization—no vision/audio, just pure language; diffusion model experience a plus.

Client Opportunity | Through Phizenix (WBENC & Minority-Certified Recruiting Partner)

Join a trailblazing AI startup that's reinventing how large language models are built—with Menlo Park, CA | On-Site | Full-Time/Direct Hire

Seeking top-tier PhDs (Bay Area preferred) with ICML/ICLR publications in LLM training and inference optimization—no vision/audio, just pure language; diffusion model experience a plus.

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 Doing

Design and refine LLM architectures built on a diffusion-first paradigm Develop cutting-edge training strategies and custom loss functions Translate research into real-world systems for enterprise-scale deployments Explore constraint-aware generation and controlled outputs Push the limits of model efficiency, scalability, and multi-modal capabilities

Must-Haves

Must have a PhD in Computer Science, Machine Learning, or a related field Hands-on experience with PyTorch and LLM fundamentals (transformers, KV caching, etc.) Should have recent/or any ICLR/ICML publications in LLM inference optimization would be ideal. Familiarity with diffusion models and distributed model training Solid research-to-production mindset with 2+ years in an ML/AI role

Bonus Points For

Training LLMs from scratch and optimizing large-scale runs Advanced training tactics (e.g., mixed precision, gradient accumulation) Experience with cross-modal modeling and inference frameworks like vLLM, TensorRT A background in model efficiency, optimization theory, or infrastructure-aware research

At

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 USD - $200,000 USD Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

Job function Research and Engineering Industries Real Estate, Financial Services, and Capital Markets Referrals increase your chances of interviewing at Phizenix by 2x Sign in to set job alerts for “Artificial Intelligence Researcher” roles.

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