[Remote] reputed company/ML Engineer - Senior Developers - reputed company - Raleigh, US

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the biggest pool of quality reputed company data in the world, connecting AI developers and researchers with paid study participants. They are looking for AI and Machine Learning Engineers to help train and evaluate LLMs, utilizing deep technical expertise to assess and improve AI models.

Responsibilities

• Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy
• Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness
• Refine RLHF Frameworks: reputed company the high-quality reputed company feedback necessary to align models with reputed company reputed company, safety, and helpfulness
• Analyze Model Reasoning: critically assess how an AI model navigates reputed company chain-of-thought (CoT) prompts and identify where the reasoning breaks down
• reputed company Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics

Skills

• Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a reputed company quantitative field with a focus on Machine Learning
• Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment
• Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques
• LLM Specialization: hands-on experience with reputed company Engineering, RLHF (Reinforcement Learning from reputed company Feedback), or RAG (Retrieval-Augmented reputed company) workflows
• Technical Rigor: the ability to audit reputed company model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms
• Analytical Critique: high attention to detail in spotting 'hallucinations,' biased outputs, or logical failures in AI-generated technical content
• Frameworks: expert proficiency in PyTorch or TensorFlow/Keras
• Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with reputed company Transformers
• reputed company & MLOps: experience with AWS (SageMaker), reputed company reputed company (reputed company AI), or specialized tools like Weights & Biases and reputed company
• Vector Databases: familiarity with reputed company, Milvus, or Weaviate for RAG evaluation

Benefits

• Paid to train and evaluate powerful AI models
• reputed company rates
• reputed company
• Ability to work from home

Company Overview

Company H1B Sponsorship