AI Engineer – LLM Training, RLHF & Deployment

NeuBird AI; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

NeuBird AI is seeking an AI Engineer to drive model training, deployment, and maintenance for enterprise-scale language models. You will work with RLHF and fine-tuning to advance capabilities across platforms.

The role requires strong AI domain knowledge, problem-solving skills, and excellent communication to collaborate with multidisciplinary teams.

Qualifications

• Experience with model training, deploying, and maintenance.
• Strong knowledge of reinforced feedback techniques and reinforcement learning.
• Proficiency in PyTorch, TensorFlow, or similar.

Responsibilities

• Lead development and customization of large-scale language models for NeuBird AI platform.
• Implement and experiment with RLHF to enhance model performance and decision-making.
• Collaborate with cross-functional teams to integrate language models into applications and platforms.
• Work on model fine-tuning, performance optimization, and continuous improvement.
• Stay up-to-date with research and trends in language modeling and RLHF.
• Contribute to research projects and technical publications.
• Participate in code reviews and mentorship of junior engineers.

Skills

Communication

Collaboration

Self-motivation

Education

Bachelor's or Master's in CS/ML or related

Tools

PyTorch

TensorFlow

Job description

As an AI engineer, you will be involved in model training, deployment, and maintenance. You will work with RLHF and fine-tuning of LLMs. This role requires a blend of analytical skills, creativity, and strong AI domain knowledge. This role is critical in delivering an enterprise experience with LLMs.

Responsibilitie

• s:Lead the development and customization of large-scale language models that drive the NeuBird AI platfor
• m.Implement and experiment with RLHF to enhance model performance and decision-makin
• g.Collaborate with cross-functional teams to integrate language models into various applications and platform
• s.Work on model fine-tuning, performance optimization, and continuous improvemen
• t.Stay up-to-date with the latest research and trends in language modeling and RLH
• F.Contribute to research projects and technical publication
• s.Participate in code reviews and mentorship of junior engineer

s.

Qualificati

• ons:Bachelor's or Master's degree in Computer Science, Machine Learning, or a related f
• ieldExperience with model training, deploying, and maintena
• nce.Strong knowledge of reinforced feedback techniques and reinforcement learn
• ing.Proficiency in frameworks like PyTorch, TensorFlow, or simi
• lar.Familiarity with NLP, text generation, and language understand
• ing.Strong problem-solving skills and a passion for addressing complex AI challen
• ges.Excellent communication and collaboration abilit
• ies.Self-motivated and eager to stay at the forefront of AI advanceme