Open-Model Research Engineer: Quality & Latency

Vidman AI; Stati Uniti; Remoto; USD 140.000 - 230.000; Tempo pieno

Descrizione del lavoro

Vidman AI is advancing the quality and efficiency of open-language models used in production. This role focuses on routing, fine-tuning, and alignment to deliver measurable improvements in quality, latency, and cost.

The candidate will develop evaluation systems, reproduce promising research, and collaborate with product engineers to make research results visible in product interfaces. A strong emphasis on reproducible experimentation and rigorous claims is essential.

Competenze

• Five+ years in ML research or engineering with large language models.
• Practical PyTorch fine-tuning, distributed training, and PEFT (LoRA/QLoRA).
• Strong evaluation discipline with evidence-based claims.
• Reproducible engineering practices.

Mansioni

• Develop routing strategies across an open-model pool and measure quality, latency, and cost.
• Design fine-tuning and alignment methods for dedicated GPU environments.
• Build evaluation systems to catch regressions before users are affected.
• Review research, reproduce methods, and move results into practice.
• Collaborate with product engineers to expose results in product interfaces.
• Document findings in internal notes and product documentation.

Conoscenze

Open-weight models

PyTorch

Distributed training

Evaluation discipline

Reproducible experiments

Strumenti

LoRA/QLoRA

PEFT techniques

Descrizione del lavoro

Vidman AI is advancing the quality and efficiency of open-language models used in production. This role focuses on routing, fine-tuning, and alignment to deliver measurable improvements in quality, latency, and cost.

The candidate will develop evaluation systems, reproduce promising research, and collaborate with product engineers to make research results visible in product interfaces. A strong emphasis on reproducible experimentation and rigorous claims is essential.