address potential issues. Apply deep learning and statistical techniques to improve scan diagnostic resolution and fault

Job brief We are looking for an ambitious and energetic Account Manager to help us expand our clientele. You will be responsible for ensuring the client's success and satisfaction while also driving revenue growth for the company. The goal is to build strong relationships with customers and drive sustainable financial growth. Responsibilities Account Management • Onboard new customers, providing training and guidance on how to use the product or service effectively. • Monitor customer usage and engagement to identify areas for improvement and provide guidance on best practices. • Develop and implement customer success plans, outlining goals, objectives, and timelines for achieving success. • Proactively identify and resolve customer issues, working closely with other departments to ensure a timely resolution. • Analyze customer data and feedback to identify trends and insights, providing recommendations for product improvements or new features. • Develop and maintain customer advocacy programs, such as case studies and referrals, to help build a strong brand reputation. Business Development • Seek new sales opportunities via inbound lead follow-up, outbound cold calls, and industry event networking. • Research accounts, pinpoint key decision-makers, and cultivate interest to grow and sustain your sales pipeline. • Work independently and with internal teams to plan pitches that speak to the client’s needs and objectives to close new business. • Identify growth opportunities in campaigns, services, and distribution channels to boost sales.

1. Improve model accuracy/performance to achieve real-time inference on edge device. 2. Iterate model to cover all kinds of common features on highway/city scene. 3. Develop multitask model. 4. Apply model distillation, pruning, factorization, and quantization. 5. Data cleaning and augmentation. 6. Port to edge device, profile and find bottlenecks. 7. SOTA paper reading and implement, model zoo building.

Responsibilities 1. Design and develop noise reduction algorithms for hearing aids • Utilize deep learning and machine

以下分成研究向及後端方向的工作內容，請投履歷時說明要應徵的方向(在自薦中說明意願)，有利提供不同的面試內容與審核。 P.S.面試有時間較長的筆試或上機，根據不同的人經驗和應徵方向會有不同。但總時間會超過2小時。 ## Back-end 方向工作內容： - 負責開發影像辨識演算法與系統 - 設計特徵搜尋引擎與相應資料結構 - 系統部屬與模型跨平台轉移，須對常用的推理框架熟悉，須配合不同硬體達到高效能。 - 設計開發及維護後端系統API並與原有產品整合 - Back-end: 熟悉一種以上Back-end frameworw，EX: Django, Flask - ML/DL/Computer Vision: 須熟悉OpenCV、scikit-learn和至少一項以上 DL framework，如: tensorflow(keras)、MXNet、Pytorch(Caffe), ... ,etc - 須對上述的框架有除使用以外的深入理解，工作中有可能需要能修改OpenCV或scikit-learn、或上述的DL框架的原始碼或是重新實做，或是使用其他DL框架去開發產品。 ## 研究方向工作內容： - 算法研究 - 提高人臉、姿態、情緒辨識精度 - 研究各類生物特徵辨識演算法 - 研究與開發活體偵測演算法 - 追蹤並改良前沿的研究結果 - 具備算法實踐能力 - 熟悉NCCL及其他相關工具 - ML/DL/Computer Vision: 須熟悉OpenCV、scikit-learn和至少一項以上 DL framework，如: tensorflow、MXNet、Pytorch, ... ,etc - 由於公司研究需要服務於產品，在效能上的考量需要與後端有充分的溝通和協作

合到產品或服務中。 - 確保 AI 模型在生產環境中的可擴展性和性能。 - 了解 AI 和 ML 技術的最新發展。 We are seeking a Deep Learning / Machine Learning Engineer to

empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models. The

1. Optimization BEV detection network 開發 2. Development detection network with occupancy head 開發 3. Segmentation network 開發 實習期間：約4~6個月，可配合學生學期期間 實習時間：每週約20小時，可搭配學生的時間做調整 實習地點：威盛總公司 (新北市新店區中正路)，不接受遠距 實習對象：以北部學校大三大四、碩士、博士的「在學學生」優先

出最小可行性系統架構及了解其中的 tradeoff。 ・有良好的溝通協作能力，能夠清楚的表達想法，並與其他團隊順利合作。 ・對機器學習演算法及工作流程有基礎的認知，例如 NLP、Deep Learning、Recommendation System

graduate students or recent graduates who have a strong background in computer science, artificial intelligence, machine learning,

results. Requirements and skills ● Proven experience as a Machine Learning Engineer or similar role. ● Deep knowledge of math,

optimize deep learning systems for immersive anime experiences. 9. Character Sensitivity: Integrate deep understanding of

Deep Learning or Reinforcement Learning Familiar with digital image processing Basic knowledge of Deep Learning theory

1. Develop industry-oriented software for semiconductor manufacturing. 2. Build up an AI/ML software solution. 3. Optimize software runtime. 4. Build a software pipeline on the GPU cluster. 5. Robust model training pipelines. 6. 1+ years working in software development related to ML / AI will be better. 7. Strong written and oral communication skills. 8. Strong programming skills and ability to debug ML systems. 9. Location will be Taipei City. 10. Lasertec company competitiveness : 公司薪資半導體業界前5%強，為高速成長期公司，升遷管道暢通 。 11. 特休規定優於勞基法、健檢補助、年節獎金、穩定年度分紅調薪...等等。

1. Develop industry-oriented software for semiconductor manufacturing. 2. Build up an AI/ML software solution. 3. Optimize software runtime. 4. Build a software pipeline on the GPU cluster. 5. Robust model training pipelines. 6. 3+ years working in software development related to ML / AI will be better. 7. Strong written and oral communication skills. 8. Strong programming skills and ability to debug ML systems. 9. Location will be Taipei City. 10. Lasertec company competitiveness : 公司薪資半導體業界前5%強，為高速成長期公司，升遷管道暢通 。 11. 特休規定優於勞基法、健檢補助、年節獎金、穩定年度分紅調薪...等等。

【About YCM InAI Team】 At YCM InAI Team, we are committed to empowering enterprises with AI — helping them create efficient, secure, and harmonious workplaces. We believe that when AI is combined with human-centric values, it can solve real problems, boost productivity, and unlock greater value. If you’re looking to make a meaningful impact in the AI era, InAI is where your potential can thrive. Join us to build cutting-edge ML and LLM-powered systems that shape the future of intelligent applications — from agents and chatbots to general-purpose problem solving. 【What You’ll Work On】 1. Design and build LLM agents, chatbots, and other task-specific or general-purpose intelligent systems 2. Define ML/LLM problems and establish key evaluation metrics 3. Develop, implement, and evaluate models using both offline experiments and online deployment 4. Monitor system performance and iterate for continuous improvement 5. Stay up to date with the latest research and propose innovative applications of language models **Please provide a one-page resume in the attachment area**

【Responsibilities】 1.Conduct research, design, implementation, and evaluation of innovative deep learning models and

工作內容: 1. 開發爬蟲工具並協助公司蒐集資料 2. 撰寫程序清理影像辨識資料 3. 開發或管理線上標註工具 4. 協助開發影像辨識演算法 5. 協助將算法模組部屬到客戶端，並且依客戶端狀況進行調適 6. 文件撰寫

the country has a fully functioning Learning and Knowledge Management as well as Talent Management function, ensuring adequate

employees to identify learning needs, deliver effective training, and evaluate program impact aligned with business goals. As a

We are seeking a highly motivated and experienced Senior Deep Learning Engineer to join our innovative team. In this role,

Training Design & Facilitation 1. Deliver Corporate Learning Center-certified training programs on a regular cadence (