Research Engineer

Reposted 6 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?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Similar Jobs

Remote or Hybrid
2 Locations
2129 Employees
In-Office
2 Locations
53000 Employees
81K-95K Annually
In-Office or Remote
2 Locations
185619 Employees

Daayitwa Logo Daayitwa

Consultant

Social Impact
In-Office
Lalitpur, Bagmati Province, NPL
38 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account