LLM Research Engineer
Company: Cypress HCM
Location: Mountain View
Posted on: February 13, 2026
|
|
|
Job Description:
Job Description Job Description LLM Research Engineer 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. Qualifications : 7-10 years experience
Advanced degree in CS, Artificial Intelligence, Data Science, or a
related field. Strong programming skills. Proficiency with deep
learning frameworks such as TensorFlow, PyTorch, or JAX. Hands-on
experience with transformer-based models (e.g., GPT, BERT, RoBERTa,
LLaMA). Expertise in natural language processing (NLP) and
sequence-to-sequence models. Familiarity with Hugging Face
libraries and OpenAI APIs. Experience with MLOps tools like Docker,
Kubernetes, and CI/CD pipelines. Strong understanding of
distributed computing and GPU acceleration using CUDA. Knowledge of
reinforcement learning and RLHF (Reinforcement Learning with Human
Feedback). Compensation: $90 - $121.86 per hour ID: 36408719
Keywords: Cypress HCM, Daly City , LLM Research Engineer, Science, Research & Development , Mountain View, California
