AI Research Scientist/Engineer

Reposted 22 Days Ago
Menlo Park, CA
In-Office
180K-200K Annually
Mid level
Artificial Intelligence • Information Technology • Consulting
Talent Solutions for the AI Era
The Role
The role involves designing LLM architectures, developing training strategies, and translating research into production systems for AI models.
Summary Generated by Built In
AI Research Scientist/Engineer

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$200,000 USD

Top Skills

PyTorch
Tensorrt
Vllm
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The Company
HQ: Livermore, CA
9 Employees
Year Founded: 2025

What We Do

We provide Talent Solutions for the AI Era. Our mission is to connect businesses with exceptional talent and consulting solutions that align with your company’s culture and values. We offer AI consulting services to enable businesses in leveraging cutting-edge artificial intelligence. We help discover, design and deploy AI solutions that streamline operations, boost productivity, and unlock new growth opportunities. Our team of AI experts, strategists, and technology specialists work closely with organizations to integrate AI-driven solutions that align with their unique goals and challenges. From automation and data analytics to predictive modeling and AI-based customer experiences, we provide end-to-end support for businesses embarking on their AI transformation journey.

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