Company Overview: Join an innovative startup revolutionizing healthcare training through cutting-edge XR (Extended Reality) environments. We specialize in developing immersive training solutions that incorporate AI-powered feedback to enhance the learning experience.
Position Overview: We are seeking an AI/LLM (Large Language Model) enthusiast with a strong background in NLP, and familiarity with Retrieval-Augmented Generation (RAG) systems, vector databases, cloud services, and custom model training and fine-tuning.
An ideal candidate will get to work with cutting-edge technologies in a fast-paced startup environment while experiencing firsthand exposure to an entrepreneurial journey. At the end of the journey, the ideal candidate will gather a deep understanding of system architecture and business requirements, with experience in developing and deploying AI solutions in healthcare or similar domains.
Technical Qualifications:
- Proficiency in Natural Language Processing (NLP) techniques and familiarity with frameworks such as spaCy, NLTK, and Transformers
- Solid understanding of Retrieval-Augmented Generation (RAG) systems, vector databases, machine learning principles, and AI model development with PyTorch or TensorFlow
- Experience working with cloud services such as AWS, Azure, or Google Cloud Platform (GCP)
- Familiarity with system architecture, networking, porting, and version control systems
- Strong programming skills in languages such as Python, JavaScript, or similar.
Non-technical Qualifications
- Excellent problem-solving skills and the ability to work in a fast-paced startup environment.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- No covert contracts
Technical Responsibilities
- Develop, train, fine-tune and deploy AI models for speech-to-text and text-to-semantic analysis to enable real-time feedback based on pre-defined performance metrics
- Design and build RAG systems to enhance the retrieval of relevant information and support context aware conversations
- Utilize vector databases to efficiently manage and query large datasets of training conversations and evaluation/feedback datasets
- Optimize model performance and scalability to meet stringent latency and throughput requirements
- Deploy and manage cloud services to ensure scalable and reliable AI infrastructure
Entrepreneurial Responsibilities
- Conduct research and stay up-to-date with the latest advancements in NLP, LLM, RAG systems, and related technologies.
- Engage with stakeholders and translate business goals to technical milestones, aligning business requirements with product requirements.
- Work alongside the founders to develop model-routing technology and bring it into production, shaping the direction of the product.
- Collaborate with cross-functional teams, including software engineers, product managers, XR developers, healthcare professionals, and business stakeholders, to integrate AI solutions into existing systems and workflows using a design thinking approach.
- Document and present research findings and technical reports to internal and external stakeholders.
How to Apply:
Interested candidates are invited to send their resume, cover letter, and portfolio showcasing relevant projects to contact@craftxr.io. Please include "AI/LLM Internship Application" in the subject line.
We are unable to hire:
- International students
- Recent graduates
Intern Eligibility Criteria:
- Enrolled full or part-time in a Canadian college or university
- Studying any discipline, with any diploma or degree level
- Will be enrolled (completing the program requirements) for at least the first 30 days of this internship
- Holds Canadian citizenship, Permanent Residency, or refugee status
- Interested in entrepreneurship and/or seeking alternatives to ‘traditional’ job placements
What We Offer:
- Salary: 18$+ per hour (part-time, 20 hours per week)
- Duration: 4 months (Sept 2024 - Dec 2024) - option to extend in winter 2025
- Flexible working hours and remote work opportunities
- A collaborative and innovative work environment
- Opportunities for professional growth and development
- The chance to make a significant impact on the future of healthcare training
Note: The opportunity is reliant on funding confirmation from VentureForCanada for the Fall 2024 cohort.