LLM Research Engineer

FocusKPI Inc.
  • Mountain View, CA
  • $115–$131 Per Hour
Today

Job Description

Job Description

Job Description

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 https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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Numbers & Facts

LocationMountain View, CA
Salary$115–$131 Per Hour

Skills

  • A/B Testingunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • CUDA (Compute Unified Device Architecture)unmatched
  • Cloud Computingunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Conferencesunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Setsunmatched
  • Deep Learningunmatched
  • Distributed Computingunmatched
  • Dockerunmatched
  • GPU (Graphics Processing Unit)unmatched
  • High Tech Industryunmatched
  • JAX (Java API for XML)unmatched
  • Machine Learningunmatched
  • Memory Hardwareunmatched
  • Modeling Languagesunmatched
  • Natural Language Processing (NLP)unmatched
  • Open Sourceunmatched
  • Patentsunmatched
  • Performance Managementunmatched
  • Performance Metricsunmatched
  • Performance Modelingunmatched
  • Predictive Modelingunmatched
  • Production Systemsunmatched
  • Quality Managementunmatched
  • Reinforcement Learningunmatched
  • Research Skillsunmatched
  • Software as a Service (SaaS)unmatched
  • Training Data Setsunmatched

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