Senior AI Engineer — RL & LLMs Specialist

pofft Technology Inc.; United States; Presencial; USD 150.000 - 230.000; Tempo integral

Resumo da vaga

pofft Technology Inc. in United States seeks a Senior AI Engineer to design, train, and evaluate cutting-edge ML models with emphasis on reinforcement learning. You will own experiments end-to-end from data collection to reporting outcomes to stakeholders.

The role requires practical RL experience, strong engineering discipline, and ability to communicate results to technical and non-technical audiences. Collaboration with domain experts is essential.

Qualificações

• Bachelor’s degree in CS/ML/Statistics or related field; MS/PhD preferred.
• 3+ years hands-on experience training or fine-tuning language models.
• Demonstrated reinforcement learning experience including environment design and end-to-end training.

Responsabilidades

• Work with domain experts to capture specialized knowledge and represent it in structured, usable form.
• Analyze source material and datasets for quality, consistency, and coverage, and resolve issues with stakeholders.
• Perform exploratory and statistical analysis to inform data, modeling, and evaluation decisions.
• Create and curate training and evaluation datasets, using automated and human validation.
• Design reinforcement learning environments, reward functions, and verifiers.
• Train and fine-tune language models using supervised and reinforcement learning methods such as PPO, DPO, and GRPO.
• Establish baselines, run ablations, and diagnose training issues.

Conhecimentos

Python

PyTorch

Reinforcement Learning

Language Models

Experimentation & Evaluation

Data Analysis

Communicate Results

Formação

Bachelor’s degree in computer science, machine learning, statistics

MS or PhD preferred

Ferramentas

Hugging Face

Descrição da vaga

pofft Technology Inc. in United States seeks a Senior AI Engineer to design, train, and evaluate cutting-edge ML models with emphasis on reinforcement learning. You will own experiments end-to-end from data collection to reporting outcomes to stakeholders.

The role requires practical RL experience, strong engineering discipline, and ability to communicate results to technical and non-technical audiences. Collaboration with domain experts is essential.