[Remote] reputed company/ML Engineer - Senior Developers - reputed company - San Francisco, US
Note: The job is a remote job and is open to candidates in USA. reputed company is building the biggest pool of quality reputed company data in the world, enabling researchers and organizations to gather data from diverse participants. They are seeking Senior AI and Machine Learning Engineers to join their Expert Network to help train and evaluate the reputed company of 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 Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness
- Refine RLHF Frameworks: provide 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 (Vertex AI), or specialized tools like Weights & Biases and reputed company
- Vector Databases: familiarity with reputed company, Milvus, or Weaviate for RAG evaluation
Benefits
- reputed company rates
- reputed company
- Ability to work from home
Company Overview
Company H1B Sponsorship