Research Engineer - Model Architectures

Zyphra Technologies Inc

• $135K — $160K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong research taste and intuition
  • Ability to manage research projects end-to-end
  • Proficient in implementation and rapid prototyping
  • Capable of collaboration in a fast-paced environment
  • Curiosity in understanding intelligence
  • Experience with long-term memory and retrieval systems
  • Postgraduate degree in a scientific field

Responsibilities

  • Design and test novel model architectures
  • Collaborate closely with the pre-training team
  • Improve modeling capabilities to reduce loss metrics
  • Address key bottlenecks in AI models
  • Assess innovative ideas and experimental methodologies

Benefits

  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k)
  • Relocation and immigration support on a case-by-case basis
  • On-site meals prepared by a culinary team
  • Collaborative, high-energy work environment in San Francisco
Full Job Description
The Role:

As a Research Engineer - Model Architectures, you will be a core contributor to Zyphra's AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models.

What We're Looking For / Requirements:
  • Strong research taste and intuition
  • The ability to work through a research project from conception to execution to write-up
  • Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly
  • The ability to work well and cooperate with others in a high-paced research setting
  • Curiosity, interest, and joy in understanding intelligence.


Qualifications / Additional Skills:
  • Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment
  • Experience with reinforcement learning, control theory, and signal processing
  • Generally, a joy in inventing and seriously assessing 'crazy' ideas, and the ability to have a unique perspective on things
  • Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware
  • Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
  • High proficiency with PyTorch and Python.
  • Strong ability to jump into large pre-existing codebases and rapidly get up to speed and become productive
  • Previously published machine learning research in well-respected venues
  • Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)


Benefits and Perks:
  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k) plan
  • Relocation and immigration support on a case-by-case basis
  • In-office snacks and meals provided
  • Unlimited PTO and company holidays
  • In-person team in San Francisco with a collaborative, high-energy environment

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