LLM Application Research Engineer

Immediate need for a talented LLM Application Research Engineer. This is a 12+months contract opportunity with long-term potential and is located in Mountain View CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-85777

Pay Range: $115 - $121.86/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
• Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
• Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
• Collect, clean, and preprocess large-scale text datasets from diverse sources.
• Develop and implement data augmentation techniques to improve training data quality.
• Ensure data is free from bias and aligned with ethical AI standards.
• Optimize model architecture to improve accuracy, efficiency, and scalability.
• Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
• Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
• Continuously test for bias, fairness, and robustness of language models across diverse datasets.
• Conduct A/B testing to evaluate model improvements in real-world applications.
• Stay updated with the latest advancements in generative AI, transformers, and NLP research.
• Contribute to research papers, patents, and open-source projects.
• Present findings and insights at conferences and internal knowledge-sharing sessions.

Key Requirements and Technology Experience:

• Key Skills; Large Language Models (e.g., GPT, LLaMA, PaLM)
• MLOps
• NLP research
• Agentic AI
• Must have experience in designing large language models (e.g., GPT, LLaMA, PaLM) for various applications.
• Must have expertise in natural language processing (NLP) and sequence-to-sequence models.
• Must have proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA)
• Master s degree preferred.

Our client is a leading Computer and Electronic Product Manufacturing Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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