Research Engineer

About the Role

We are looking for a Research Engineer to bridge the gap between academic AI research and scalable product development. You'll work closely with AI researchers, product teams, and engineers to prototype, fine-tune, and deploy state-of-the-art language models using platforms like Google Vertex AI, OpenAI, and Hugging Face.

Key Responsibilities

• Design and run experiments to evaluate model performance, bias, hallucination, and user alignment
• Implement, fine-tune, and deploy LLMs using techniques like prompt tuning, LoRA, RLHF, or instruction tuning
• Collaborate with engineers to integrate models into production systems (APIs, applications)
• Analyze training data and pre/post-processing pipelines for model input/output
• Stay up-to-date with the latest AI papers, tools, and benchmarks (e.g., MMLU, HELM, TruthfulQA)
• Maintain documentation of experiments, hyperparameters, and evaluation results
• Strong programming skills in Python (PyTorch, TensorFlow, JAX)
• Experience working with transformer models (BERT, GPT, T5, etc.)
• Familiarity with LLM deployment platforms (Vertex AI, Hugging Face, OpenAI API)
• A deep understanding of ML concepts such as transfer learning, attention mechanisms, optimization
• Practical experience in experiment tracking (Weights & Biases, TensorBoard, MLflow)