LLM Research Engineer

Mountain View, CA, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Compensation information provided in the description

Fitment

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Job Details

Skills

Training
Data Quality
Scalability
Real-time
Collaboration
Cloud Computing
Language Models
A/B Testing
Generative Artificial Intelligence (AI)
Research
Patents
Open Source
Knowledge Sharing
Computer Science
Artificial Intelligence
Data Science
Machine Learning (ML)
Deep Learning
TensorFlow
PyTorch
JAX
Transformer
BERT
Natural Language Processing
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Distributed Computing
GPU
CUDA
Evaluation
Large Language Models (LLMs)

Training
Data Quality
Scalability
Real-time
Collaboration
Cloud Computing
Language Models
A/B Testing
Generative Artificial Intelligence (AI)
Research
Patents
Open Source
Knowledge Sharing
Computer Science
Artificial Intelligence
Data Science
Machine Learning (ML)
Deep Learning
TensorFlow
PyTorch
JAX
Transformer
BERT
Natural Language Processing
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Continuous Integration
Continuous Delivery
Distributed Computing
GPU
CUDA
Evaluation
Large Language Models (LLMs)

Summary

FocusKPI is seeking an LLM Research Engineer to join one of our clients, a high-tech SaaS company. Looking for qualified candidates from high-tech companies.

Work Location: Mountain View, CA (Onsite role)
Duration: 12-month contract
Pay Range: $115 - 131/hr

**No C2C resumes are considered**

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:

Education: Master's degree with a minimum of 3+ years of experience post-graduation or a Bachelor's degree with a minimum of 5+ years of experience post-graduation
Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong programming skills.
Proficiency with Machine Learning.
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.
Experience with Evaluation Pipeline Development and Large Language Model Fine-Tuning.
Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).

**No C2C resumes are considered**

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90624177
Position Id: b83cf93fe7b4724aaa079292e5dbd148
Posted 2 hours ago

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