Positive Grid is devoted to creating cutting-edge technologies to revolutionize the world’s music production. Machine learning team is looking for a proactive, good-communicator and hardworking ML engineer to advance the technologies of guitar/music production. Our projects involve music information retrieval, audio effects chain generation, guitar amp and analog effect modeling, multi-modal LLM, and other machine learning based technologies to extend the Positive Grid’s guitar music creation ecosystem.
You are expected to not only perform research and development but also provide thorough evaluation and proposal documents for any major technical decisions. This includes explaining why you choose a certain framework or approach (e.g., model architecture, data manipulation, feature extraction, etc.) by assessing aspects such as binary size, cost, features, maintainability, and integration effort. You will articulate these decisions clearly to stakeholders, proactively address inquiries, and demonstrate an open-minded approach to trying new tools—especially AI-based tools—while providing concrete justifications if you decide not to adopt them.
【Typical Accountabilities】
1. Research and apply advanced multi-media generative models, such as those used in audio and image generation, along with Virtual Analog (VA) Modeling (e.g., Amp/Pedal Modeling), Music Information Retrieval, and other machine learning topics relevant to guitar and audio.
2. Collaborate with DSP engineers and the product team to create innovative technology solutions for music-related challenges.
3. Design and implement real-time, neural network-based audio applications.
4. Work in partnership with application engineers to incorporate machine learning libraries into various applications.
5. Provide clear and well-structured technical presentations or documents (e.g., proof-of-concept reports, roadmap evaluations) to explain your reasoning for technology adoption or rejection.
6. Demonstrate a willingness to explore and assess AI-based tools (e.g., Deep Research, N8N) to improve development efficiency and research processes, and share findings with the team and leadership.
【Essential】
- Possess a Master's degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, or equivalent industry experience.
- Have a robust theoretical and practical understanding of deep learning and machine learning.
- Bring at least two years of experience in designing and optimizing deep neural network models, with a preference for candidates who have a relevant thesis or publication in machine learning.
- Demonstrating experience in developing and optimizing deep learning models for audio or computer vision applications.
Development Tool
- Hands-on experience of deep learning frameworks such as PyTorch, Tensorflow, etc.
- Experience with training ML projects with large-scale datasets.
- Experience with building ML project prototypes with Gradio, Streamlit, or standalone apps.
- Openness to adopting AI-related tools or platforms (e.g., Deep Research, GitHub Copilot, N8N) to enhance efficiency, while providing data-driven justification for your choices.
【Desirable】
- Electric guitar playing experience is a great plus.
- Having a foundational knowledge of Digital Signal Processing (DSP) theory.
- Experience with implementing ML models on embedded devices.
- Experience with audio plug-in frameworks like JUCE or iPlug2.
在當今快速變化的工作環境中，我們公司堅信員工的幸福與工作滿意度是成功的關鍵。為此，我們設計了一系列全面的員工福利計畫，目的在滿足員工從健康、家庭到個人成長的各方面需求。
1. 薪酬與獎金
- 年薪14個月，給你滿滿保障
- 三節獎金或禮品，一起度過美好節日
2. 健康與休閒
- 舒適的吧台空間，可以隨時放鬆、休息
- 天天補滿的零食櫃和各式飲料、咖啡，讓你能量滿滿
- 提供員工按摩服務，消除身體疲勞
3. 辦公器材
- 公司提供MAC筆電和螢幕等設備，讓你工作更流暢
4. 公司活動
- 年度盛會如春酒和年末聚餐，讓我們一起狂歡
- 不定期的福委活動，跟同事一起玩遊戲拿獎金
5. 假期與休假
- 12天不扣薪病假，讓你安心休養不用擔心
- 7天家庭假，給你更多時間陪伴心愛家人 - 1天自我放逐假，讓你遠離公事不被打擾
6. 生活支持
- 結婚禮金，為你的幸福加碼
- 生育祝賀金，陪你迎接家庭新成員的到來
- 每月為兩歲以下孩童提供育兒津貼，溫暖你的小家庭
7. 交通補助
- 每月停車費補助，平時通勤更輕鬆
8.進修補助
- 每年度補助，讓你提升職涯專業能力
9. 團隊建設
- 每月補助部門聚餐費用，促進團隊合作、增進彼此感情
10. 身心理健康支持
- 專業診所定期在公司開設健康講座，建立完善的臨場健康服務
- 職護每週、職醫每季一次到公司提供個人化醫療建議，讓你輕鬆諮詢、省去奔波煩惱 - 每年度免費提供員工優質健檢方案及補助，檢測涵蓋項目優於法規規定，一起關心你的健康
11. 工作靈活性
-每週提供1日遠距辦公日、依需求申請
這套全面的福利計畫旨在全方位支持員工的發展，涵蓋健康、家庭和個人成長，充分體現了我們對員工福祉的重視及承諾。
