Model Architecture Research Engineer — Pioneering AI
Zyphra
San Francisco (CA)
On-site
USD 100,000 - 150,000
Full time
14 days+
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Benefits offered by this job
Comprehensive medical, dental, and vision plans
Competitive compensation and 401(k) plan
Relocation and immigration support
In-office snacks and meals
Unlimited PTO and company holidays
Collaborative work environment in San Francisco
Job summary
A leading AI research firm in San Francisco is seeking a Research Engineer specializing in Model Architectures. You will design and rigorously test innovative model architectures, improving core modeling capabilities and collaborating closely with pre-training teams. Candidates should exhibit strong research intuition, proficiency in PyTorch and Python, and have a postgraduate degree in a relevant scientific discipline. The firm values both deep research and engineering excellence, making it an exciting place for innovative thinkers.
Qualifications
Experience with long-term memory and retrieval systems.
Familiarity with reinforcement learning and control theory.
Joy in inventing and assessing unconventional ideas.
Understanding modern training pipelines for GPU designs.
Ability to conduct rigorous hypothesis testing.
Experience with large pre-existing codebases.
Responsibilities
Design novel model architectures for AI.
Rigorous testing of training methodologies.
Collaborate with pre-training teams for model integration.
Skills
Strong research taste and intuition
Ability to work through a research project
Strong implementation and prototyping ability
Cooperation in high-paced settings
Curiosity about intelligence
Education
Postgraduate degree in a scientific subject
Tools
PyTorch
Python
Job description
A leading AI research firm in San Francisco is seeking a Research Engineer specializing in Model Architectures. You will design and rigorously test innovative model architectures, improving core modeling capabilities and collaborating closely with pre-training teams. Candidates should exhibit strong research intuition, proficiency in PyTorch and Python, and have a postgraduate degree in a relevant scientific discipline. The firm values both deep research and engineering excellence, making it an exciting place for innovative thinkers.