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Job Type: Part-Time (Potential to Transition to Full-Time)
Location: Remote
Compensation: $7 per hour
We are looking for a creative and innovative NLP Engineer who thinks outside the box to 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:
• Develop and fine-tune a lightweight LLM optimized for on-device classification of webpages.
• Ensure compatibility with CoreML for efficient integration into iOS/macOS environments.
• Work on React-based interfaces to visualize and interact with the model.
• Implement efficient NLP pipelines for classifying URLs and HTML content.
• Stay updated on advancements in ML and NLP to improve model performance.
• Optimize models for low-latency inference on mobile and embedded systems.
• Collaborate with developers to integrate the NLP model into broader filtering solutions.
Requirements:
• Experience with React and front-end development.
• Strong background in NLP and machine learning, particularly in LLM optimization.
• Familiarity with CoreML and Apple’s ML frameworks.
• Ability to think creatively and solve complex technical challenges.
• Experience working with on-device AI models and lightweight inference.
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Strong problem-solving and research skills.
Preferred Qualifications:
• Experience in web filtering, content classification, or AI-powered parental controls.
• Background in privacy-focused AI solutions.
• Prior work in optimizing NLP models for mobile and edge devices.
If you’re a forward-thinking NLP engineer who thrives on innovative challenges, we’d love to hear from you!
Would you like me to add anything specific about the hiring process or how applicants should apply?
Benefits:
While this is a part-time role to start, there is strong potential for full-time growth based on performance. We offer flexible work hours, a fully remote position, and the opportunity to work on cutting-edge AI projects with real-world impact. You’ll gain hands-on experience with on-device machine learning, CoreML integration, and LLM optimization, all while being part of a forward-thinking, innovative team.
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