Research Engineer

We are an AI startup dedicated to expanding the frontiers of applied intelligence. We are at the forefront of applied AI innovation, developing cutting-edge AI technologies that transform market demand and achieve groundbreaking advancements. We are looking for a talented Research Engineer to join our team and help push the boundaries of research and deployment of multimodal large models applied to our domain.

You are a Research Engineer with strong problem-solving abilities and analytical skills specializing in large language models and/or large multimodal models. You will conduct research, design, and implement state-of-the-art models and systems. You will work closely with the rest of the technical team to create scalable solutions for various tasks such as text generation, information extraction, multimodal analysis, and conversational AI.

Responsibilities

• Conduct research and develop innovative datasets, models, algorithms, and systems.
• Implement, evaluate, and optimize deep learning architectures for various NLP tasks.
• Collaborate with cross-functional teams to integrate NLP solutions into real-world applications.
• Stay up-to-date with the latest research and apply new findings to improve existing models.
• Develop high-quality, well-documented code for experimental and production systems.
• Perform large-scale data preprocessing, annotation, and augmentation.
• Publish research findings and contribute to scientific venues.

Qualifications

• PhD in Computer Science, Computational Linguistics, Machine Learning or a related field.
• Proven experience in NLP research, and model development. Proficiency in data preprocessing, feature extraction, and model evaluation.
• Proficiency in python and pytorch. Experience with NLP libraries like HuggingFace Transformers, NLTK, etc.
• Strong publication record in top-tier NLP and ML conferences, e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, etc.
• Strong understanding of machine learning fundamentals and neural network architectures.
• Familiarity with large language models, instruction tuning, transfer learning, and fine-tuning techniques.
• Excellent verbal and written communication skills.

Preferred qualifications

• Experience in deploying NLP models to production environments.
• Knowledge of distributed computing and cloud-based architectures.
• Familiarity with multimodal language models

Benefits

• Competitive salary and benefits package (401k, health insurance, PTO, etc.).
• Opportunity to publish research and collaborate with world-class experts.
• Fast-paced environment with the chance to make a big impact.