Description:

QuickTeam is a company that provides businesses with virtual employees to help them grow and become more productive.
The company offers virtual assistants, receptionists, and other support staff to help businesses manage their day-to-day tasks.
The position is for a creative and innovative NLP Engineer who will develop a lightweight, CoreML-compatible LLM for classifying URLs and HTML content.
The ideal candidate should be up to date on the latest advancements in machine learning and natural language processing and have experience building and working with LLMs.
This role is part-time, with the potential to transition into a full-time position based on performance and project needs.
Key responsibilities include developing and fine-tuning a lightweight LLM optimized for on-device classification of webpages, ensuring compatibility with CoreML, working on React-based interfaces, implementing efficient NLP pipelines, staying updated on advancements in ML and NLP, optimizing models for low-latency inference, and collaborating with developers to integrate the NLP model into broader filtering solutions.

Requirements:

The candidate must have experience with React and front-end development.
A strong background in NLP and machine learning, particularly in LLM optimization, is required.
Familiarity with CoreML and Apple’s ML frameworks is necessary.
The ability to think creatively and solve complex technical challenges is essential.
Experience working with on-device AI models and lightweight inference is required.
Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks is necessary.
Strong problem-solving and research skills are required.
Preferred qualifications include experience in web filtering, content classification, or AI-powered parental controls, a background in privacy-focused AI solutions, and prior work in optimizing NLP models for mobile and edge devices.

While this is a part-time role to start, there is strong potential for full-time growth based on performance.
The position offers flexible work hours and is fully remote.
Employees will have the opportunity to work on cutting-edge AI projects with real-world impact.
The role provides hands-on experience with on-device machine learning, CoreML integration, and LLM optimization.
Employees will be part of a forward-thinking, innovative team.