AI Engineer

Employment Type: Full-time

Start Date: August 1, 2023

Job Description:

We are seeking a highly skilled and motivated AI Engineer with a strong background in Natural Language Processing (NLP) and extensive experience in working with large language models to join Habitat Learn Ltd. As an AI Engineer at Habitat Learn, you will play a crucial role in developing and enhancing our cutting-edge NLP systems and language models for our flagship product, Messenger Pigeon. The specific feature you will contribute to is called Study Assistant, a tool designed to help students understand and learn from their lecture content.

This position is remote; however, you must be located in Scotland. You will be working closely with our CTO and a group of AI engineers located in England, fostering a collaborative and dynamic environment.

Responsibilities:

1. Develop and optimize NLP algorithms and models:
   • Design, implement, and evaluate NLP algorithms and models to enhance the Study Assistant feature in Messenger Pigeon.
   • Improve the performance and efficiency of existing NLP systems through continuous experimentation and optimization.
2. Train and fine-tune large-scale language models:
   • Utilize your experience with large language models to train and fine-tune models specifically for Study Assistant's text analysis, question-answering, and educational content understanding capabilities.
   • Conduct experiments and evaluations to improve the quality, accuracy, and relevance of the language models used.
3. Data preprocessing and annotation:
   • Preprocess and clean large volumes of textual data, including lecture content and educational resources, for training and evaluation purposes.
   • Annotate and label data for training and testing NLP models, ensuring high-quality and accurate annotations for educational context.
4. Collaborate with cross-functional teams:
   • Work closely with our CTO and a group of AI engineers located in England to integrate NLP models.
   • Collaborate on designing and implementing efficient data pipelines and infrastructure for NLP model training and deployment.
5. Stay up-to-date with NLP research and industry trends:
   • Monitor the latest advancements in NLP research and technologies to drive innovation and recommend new approaches for enhancing capabilities.
   • Share knowledge and best practices with the team to foster a culture of continuous learning and growth.

Requirements

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• Strong background in Natural Language Processing (NLP) with a deep understanding of NLP algorithms, techniques, and tools.
• Proven experience (X+ years) in developing and implementing NLP models and algorithms, preferably in industry settings.
• Experience working with large-scale language models (e.g., GPT, BERT, Transformer models).
• Proficiency in programming languages commonly used in NLP, such as Python, TensorFlow, PyTorch, or similar frameworks.
• Solid understanding of data preprocessing techniques and data annotation for NLP tasks.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative remote environment.
• Excellent communication and teamwork skills to effectively collaborate with cross-functional teams.

Benefits

We offer a competitive salary package and a stimulating remote work environment at Habitat Learn, where you can make a significant impact on cutting-edge NLP technologies that power our flagship product, Messenger Pigeon. While this position is remote, you must be located in Scotland. You will be working closely with our CTO and a group of AI engineers located in England, fostering collaboration across borders.

If you are passionate about advancing the field of Natural Language Processing and have a track record of success in working with large language models for educational applications, we would love to hear from you.