Artificial Intelligence Engineer

NeuBird AI; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

NeuBird AI is seeking an experienced AI engineer to advance our language modeling initiatives. In this role, you'll lead the customization of large-scale models, implement RLHF techniques for enhanced performance, and collaborate with multidisciplinary teams.

The ideal candidate will have a strong academic background in Computer Science or Machine Learning and expertise in deployment and maintenance of AI models. Your passion for AI advancements and problem-solving abilities will be key in driving our platform's success.

Qualifications

• Experience with model training, deploying, and maintenance.
• Strong knowledge of reinforced feedback techniques and reinforcement learning.
• Familiarity with NLP, text generation, and language understanding.

Responsibilities

• Lead the development and customization of large-scale language models that drive the NeuBird platform.
• Implement and experiment with RLHF to enhance model performance and decision-making.
• Collaborate with cross-functional teams to integrate language models into various applications and platforms.

Skills

Analytical skills

Creativity

AI domain knowledge

Problem-solving skills

Collaboration

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field

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.

Responsibilities

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

Qualification

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related fiel
• Experience with model training, deploying, and maintenanc
• Strong knowledge of reinforced feedback techniques and reinforcement learnin
• Proficiency in frameworks like PyTorch, TensorFlow, or simila
• Familiarity with NLP, text generation, and language understandin
• Strong problem-solving skills and a passion for addressing complex AI challenge
• Excellent communication and collaboration abilitie
• Self-motivated and eager to stay at the forefront of AI advancement