Research Engineer

Posted 21 Days Ago
Be an Early Applicant
Kathmandu, Bagmati Province, NPL
In-Office
Mid level
Artificial Intelligence • Gaming • Mobile • App development
The Role
Prototype, fine-tune, evaluate, and deploy large language models. Design experiments to measure performance, bias, and alignment; implement techniques like LoRA, prompt tuning, and RLHF; integrate models into production; analyze data pipelines; track experiments and document results.
Summary Generated by Built In

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)

Skills Required

  • Strong programming skills in Python (PyTorch, TensorFlow, JAX)
  • Experience working with transformer models (BERT, GPT, T5, etc.)
  • Implement, fine-tune, and deploy LLMs using prompt tuning, LoRA, RLHF, or instruction tuning
  • Familiarity with LLM deployment platforms (Google Vertex AI, Hugging Face, OpenAI API)
  • Deep understanding of ML concepts such as transfer learning, attention mechanisms, optimization
  • Practical experience in experiment tracking (Weights & Biases, TensorBoard, MLflow)
  • Design and run experiments to evaluate model performance, bias, hallucination, and user alignment
Am I A Good Fit?
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The Company
30 Employees
Year Founded: 2023

What We Do

Founded in 2023, Kipoo Games Inc. is a Delaware-registered corporation and a video game developer and publisher based in Nepal and the United States. The company specializes in creating immersive mobile games for a global audience, focusing on bringing innovative ideas to the gaming experience. Their mission is to build strong relationships with users and provide unforgettable adventures through engaging and immersive gaming experiences.

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