PHIZENIX · 3 months ago
AI Research Scientist/Engineer
Menlo Park, CA
Full-time
Onsite
Mid, Senior Level
$180K/yr - $200K/yr
2+ years expPhizenix is a trailblazing AI startup that is reinventing how large language models are built. They are seeking an AI Research Scientist/Engineer to design novel model architectures and develop cutting-edge training strategies for enterprise-scale deployments.
Information Technology & Services
Responsibilities
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
Qualification
Required
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.)
Familiarity with diffusion models and distributed model training
Solid research-to-production mindset with 2+ years in an ML/AI role
Preferred
Bay Area preferred
Diffusion model experience a plus
Recent/or any ICLR/ICML publications in LLM inference optimization would be ideal
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
Company
PHIZENIX
We provide Talent Solutions for the AI Era.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase