Research Scientist

We are seeking a highly skilled and innovative Research Scientist specializing in Artificial Intelligence to join our R&D team. This role is ideal for someone with deep expertise in implementing and customizing state-of-the-art AI research papers optimizing large-scale models and building robust datasets. You will work on real-world applications of generative AI large language models (LLMs) and computer vision systems contributing directly to the development of scalable and impactful AI solutions.

Key Responsibilities

Implement and customize cutting-edge AI research papers into working prototypes and production-ready models.

• Conduct performance improvement experiments on large-scale models including fine-tuning prompt engineering and architecture modifications.
• Develop and manage training and evaluation datasets including synthetic data generation annotation pipelines and benchmark creation.
• Collaborate with engineering and product teams to deploy research outputs into scalable systems.
• Stay up-to-date with the latest advancements in AI and contribute to internal research strategy.

Document experiments share insights and support innovation through patent filings and technical reports.

Required Qualifications

• Ph.D. or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.
• Proven experience in implementing and customizing AI research papers (e.g. from arXiv NeurIPS ICML).
• Hands-on experience with Large Language Models (LLMs): GPT LLaMA Mistral Falcon.
• Experience with Vision Models: ViT SAM CLIP.
• Experience with Generative Models: Stable Diffusion DALLE GANs.
• Experience with Multimodal Systems combining vision language and audio.
• Proficiency in Python PyTorch TensorFlow JAX.
• Experience with Hugging Face Transformers Diffusers OpenAI Gym.
• Experience with Weights & Biases MLflow TensorBoard.
• Experience with Distributed training: DeepSpeed FSDP Horovod.
• Knowledge of Model optimization: quantization pruning distillation.
• Experience with Data tools: DVC Apache Arrow Label Studio.
• Strong understanding of evaluation metrics benchmarking and reproducibility.