F0169 - AI Engineer

About Ubiquiti 

At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT.

Responsibilities

• We are looking for outstanding LLMs, computer vision and deep learning engineers to join our fast growing AI team. We expect you to bring your experience, enthusiasm and creativity on deep learning into high-quality and impactful real-world solutions.

Requirement

• MS or PhD degree in Computer Science, Electrical Engineering or equivalent experience
• Familiar with Python
• Familiar at least one deep learning framework (e.g. Pytorch or Tensorflow)
• 4+ years of professional experience in computer vision and/or LLMs
• Design, implement, and optimize machine learning models for AI projects
• Hands-on experience with deep learning computer vision or LLMs applications (including object detection, classification, and embedding models)

Nice to have

• A collaborative team player who is self-motivated, embraces challenges, and consistently delivers reliable results
• Demonstrated passion for cutting-edge computer vision, LLMs and machine learning technologies
• Proven track record of implementing deep learning algorithms in production environments
• Strong proficiency in Python and C/C++ programming
• Experience working with Large Language Models (LLMs) and Multi-Modal Models, including curation and management of multi-modal datasets
• Experience with deep learning model optimization, including pruning, compression, and quantization for edge device deployment while maintaining performance
• Practical experience with MLOps tools such as DVC, MLFlow, or Weights & Biases platform

Benefits

• International work environment and work with global development teams.
• Excellent work conditions.
• Competitive package we can and do offer great pay, perks, and benefits.
• Group insurance; Health insurance.
• Flexible working patterns.
• Free drinks and snacks in the office.