Linker Networks 是一間創立於波士頓的美國創新公司，專注於開發自駕、工安以及公衛醫療領域的AI平台。成立於2013年，由一群對於人工智慧發展充滿熱誠的年輕人組成，我們擁有開放的組織文化以及敏捷的開發團隊，若你也想要一同和我們開創人工智慧的新時代，加入Linker絕對是你的最佳選擇。
▋What's it like to be a Linker?
You will be working with a talented team to build a promising computer vision AI development platform. You will learn from our global clients their pain points and create solutions for them. You'll see how we managed to process tremendous real-world data to build computer vision models and applications for maximal impact. You will have a unique chance here to grow your desired career.
▋What you will do:
▸ Developing deep learning solutions and performance evaluation frameworks according to business project at production-level
▸ Partner with engineers and product managers to build the right application for the business need
▸ Researching on latest DL/ML algorithms or frameworks to find opportunities for growth and efficiency for the data science team
▸ Design and analyze experiments; communicate results and launch decisions
▋What you must have:
▸ MS or Ph.D. in Computer Science, Engineering, Statistics, Operations Research, Mathematics, or other quantitative fields are preferred
▸ Solid understanding of deep learning & machine learning
▸ Familiar with Python
▸ Experienced in cutting edge deep learning models and frameworks PyTorch, Tensorflow, etc.
▸ Willingness to collaborate and communicate with others to solve a problem
▸ Experience of working in a startup is a plus
▋Nice to have:
▸ Familiar with CUDA programming, and distributed computing.
▸ Experience in one of the following topics 3D DL (Point Cloud / Voxels / RGB-D etc.), 3D image geometry, 6D pose estimation.
We do our best to plan, but we also understand that keeping up with changes is challenging. Therefore, managing chaos is significant, particularly when growing a business.
Hacker spirit is within everyone's blood, not just engineers. We always find ways to unblock obstacles, make things work, and hold ourselves accountable for the result.
One man alone may have blind spots. That's why we need to team up and rely on each other.
Stage 1. Pretest
Stage 2. Data Scientist Lead (1h)
Stage 4. CTO (1h)
Stage 5. CEO (40mins-1h)
我們致力於加速 AI 電腦視覺應用的開發，以自動標註系統來克服深度學習中最困難的挑戰 - 準備高品質的訓練資料。除此之外，我們建立 AI 電腦視覺模型持續學習機制以適應新的資料變化，透過優化整體開發流程，從資料攝取及篩選、模型訓練及驗證、到佈署及監控，讓 AI 電腦視覺能更快速簡易地持續學習。