# Research Member of Technical Staff- Efficient Modeling at Rhoda

- Company: Rhoda
- What the company does: Redefining Robotic Intelligence. Backed by Khosla.
- Company website: https://www.rhoda.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Mountain View
- Work setup: On-site
- Pay: $200K to $300K base salary per year (USD)
- Posted: 2026-05-18
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/rhoda-ai/5445a936-b503-4cf3-aecf-7e4dca3ed7cf
- Page: https://www.1752.vc/careers/jobs/rhoda-research-member-of-technical-staff-efficient-modeling/

## About the role

Research and implement model compression techniques: quantization, pruning, structured sparsity, distillation, and low-rank approximation Design efficient architectures and attention mechanisms suited to real-time inference on edge and robot hardware

## What they're looking for

- Strong understanding of model compression and efficient architectures for large models
- Hands-on experience with quantization, distillation, or pruning applied to transformers or large neural networks
- Deep knowledge of where efficiency gains are possible in modern architectures
- Proficiency with PyTorch and familiarity with hardware-aware optimization (CUDA, TensorRT, or similar)
- Ability to run principled experiments that characterize capability-efficiency tradeoffs
- PhD in ML, CS, or a related field — or equivalent research/engineering experience

Tags: Research