Applied Researcher
Variant · San Francisco, CA · 9 mo ago
On-siteAnalystFull-time
Job Responsibilities
Design, train, and evaluate deep neural networks and Language Models (LLMs).
Own experiments end-to-end: formulate hypotheses, select datasets, choose evaluation metrics, and interpret results.
Prototype fast; turn promising ideas into reliable systems.
Collaborate with engineering and design teams to bring ideas to life.
Write clearly: produce high-quality papers, documentation, and concise experiment reports.
Strive for both rigorous research and rapid deployment.
Minimal Qualifications
- 2+ years in a PhD program or in industry.
- Experience training deep neural networks.
- Proficiency in frameworks such as PyTorch.
- Published 1 or more papers in the field of deep learning.
Ideal Qualifications
- Experience training Large Language Models (LLMs), including Self-Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)-based techniques.
- Experience in the domain of code generation.
- At least 1 paper accepted into a top conference.
- Proficiency in best software engineering practices.
- Experience formulating, structuring, and answering open-ended questions.
- Passion for visual design or user interface (UI) design; relevant prior work in the space.
Benefits
We are well-capitalized and backed by notable investors.
Pay
Details on pay are not specified at this time.
Schedule
The schedule is not specified at this time.
Qualifications
Commensurate with experience.
Skills
N/A
Benefits
N/A
Schedule
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