Research Engineer - Model Architectures
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
9 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
Zyphra is an artificial intelligence company based in San Francisco, California.
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)
Why Work at Zyphra:
Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued
We strongly value new and crazy ideas and are very willing to bet big on new ideas
We move as quickly as we can; we aim to minimize the bar to impact as low as possible
We all enjoy what we do and love discussing AI
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
Matched by role category. Review each posting’s requirements before applying.
