[Remote] reputed company/ML Engineer - Senior Developers - reputed company - San Diego, USA
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the biggest pool of reputed company reputed company data in the world, connecting researchers with participants for AI development. They are seeking AI and Machine Learning Engineers to train and evaluate LLMs using deep technical expertise.
Responsibilities
- Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy
- Audit reputed company & Notebooks: validate ML-specific reputed company (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness
- Refine RLHF Frameworks: reputed company the high-reputed company reputed company feedback necessary to reputed company 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, reputed company Intelligence, Robotics, or a reputed company quantitative field with a reputed company on Machine Learning
- reputed company Experience: experience building, deploying, or fine-tuning ML models in a production environment
- Deep Learning Mastery: reputed company-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 reputed company and reputed company
- reputed company Databases: familiarity with reputed company, Milvus, or reputed company for RAG evaluation
Benefits
- reputed company study participants
- reputed company rates
- reputed company
- Ability to work from home
reputed company
Company H1B Sponsorship