Benefits:

• Professional Development: Mentorship from industry professionals and opportunities to participate in training sessions.

Education Requirements:

• Currently pursuing or recently completed a bachelor's or master's degree in Business Administration, Economics, Finance, Engineering, or a related field.

Responsibilities:

• Research and Analysis: Conduct in-depth research on industry trends, market dynamics, and organizational challenges to support client engagements.

• Data Collection and Interpretation: Gather and analyze quantitative and qualitative data to identify patterns, insights, and actionable recommendations.

• Client Collaboration: Assist in preparing and participating in client meetings, workshops, and presentations, contributing to the development of strategic solutions.

• Strategic Planning Support: Work alongside consultants to develop strategic plans, business models, and operational improvements tailored to client needs.

• Presentation Development: Create clear and compelling presentation materials to communicate findings and recommendations effectively to clients and internal stakeholders.

Benefits:

• Professional Development: Receive mentorship from industry professionals and participate in training to enhance your skills.

Education Requirements:

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline.

Responsibilities:

• Data Collection & Preparation: Support data gathering, cleaning, and organization from multiple sources to ensure accuracy and consistency.

• Data Analysis & Visualization: Assist in analyzing datasets to uncover trends and insights; create visualizations, dashboards, and reports to clearly communicate findings.

• Model Development Support: Help develop and validate basic predictive models and assist in exploratory analysis using foundational machine learning algorithms.

• Collaborative Engagement: Work alongside team members from different departments to understand their data requirements and contribute insights to support business performance.

• Documentation & Communication: Prepare clear documentation of methodologies and results, and effectively communicate these insights to internal teams.

Benefits:

• Work on cutting-edge AI technologies

• Flat hierarchy with direct impact

• Learning opportunities with latest tech

• Cash + revenue share

Experience Requirements:

• Next.js, TypeScript, NestJS/NodeJS, Prisma expertise

• Experience with OpenAI, Anthropic, Vercel AI SDK

Responsibilities:

• Assist in developing and executing marketing strategies for our listed application on Microsoft ISV and Azure Marketplace.

• Collaborate closely with the Microsoft team to enhance visibility and drive engagement.

• Support the creation of marketing materials, campaigns, and digital content tailored for the marketplace audience.

• Analyze performance metrics and provide actionable insights to optimize marketing efforts.

Responsibilities:

• Annotate, label, and categorize images and videos for training computer vision models.

• Review and validate annotations to ensure accuracy and consistency across datasets.

• Collaborate with the AI/ML team to define annotation guidelines and workflows.

• Perform quality control checks on datasets to identify and correct errors.

• Provide feedback to improve annotation tools and processes. Manage and organize large datasets, ensuring data security and confidentiality. Stay updated on advancements in computer vision and data annotation techniques.

Responsibilities:

• Assist in developing and maintaining server-side applications and APIs.

• Work with databases to design schemas, write queries, and manage data efficiently.

• Collaborate with front-end engineers to integrate user-facing elements with backend services.

• Ensure the performance, scalability, and security of backend systems.

• Debug and troubleshoot issues in backend code and infrastructure. Write clean, maintainable, and well-documented code. Participate in code reviews and team discussions to enhance overall code quality.

Responsibilities:

• Develop, test, and deploy visually appealing, user-friendly web and mobile interfaces.

• Collaborate with designers and backend engineers to ensure seamless integration of APIs and UI components.

• Write clean, modular, and maintainable code using modern JavaScript frameworks and libraries (e.g., React, Vue.js, or Angular).

• Optimize frontend performance to ensure fast load times and a smooth user experience.

• Implement responsive designs that work across a range of devices and screen sizes. Participate in code reviews, testing, and debugging to maintain high-quality standards. Stay updated on the latest trends and best practices in frontend development and UI/UX design.

Benefits:

• 彈性上下班時間

• 正職配發 MacBook

• 入職享全薪病假 12 天及大幅優於勞基法的特休制度

• 彈性上下班時間、Work From Anywhere Policy (WFA)：只因我們相信工作的成就並不取決於在哪裡工作，而是工作本身，WFA 讓你想在哪裡工作就在哪裡工作！

• 台大正門口對面，鄰近公館商圈，有許多好吃的小吃！ 不定期國外零食隨你吃 植株、水草、魚類陪伴著你工作 夥伴運動社團 提供進修課程補助金 提供健康檢查補助金 定期舉辦 Workshop & Team Building 完整 Onboarding 訓練制度，訂定明確學習藍圖，讓你安心踏實地跟上團隊腳步！

Responsibilities:

• 建立泰國潛在客戶清單，使用 Customer Journey 開發商業機會。

• 管理 CRM 客戶清單，維護潛在客戶關係。

• 分析泰國市場趨勢，尋找產業需求。可能需要獨立完成市場研究簡報。

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Benefits:

• Competitive Salary and Equity

• Comprehensive Insurance

• Flexible Time Off

• Paid Parental and Family Leave

Education Requirements:

• High School Students interested in pursuing a Marketing, Communications, Business, or related field

Other Requirements:

• 3.5+ GPA preferred

• Relevant academic and extracurricular background

• Strong verbal and written communication skills

• Proven ability to learn new tools and software quickly and independently

• Detail organized and deadline oriented

Responsibilities:

• Assist in the coordination and implementation of social media posts

• Assist with lead generation activities

• Assist with maintenance and content building for social platforms

• Assist with competitive analysis research

• Assist with building marketing campaignsAssist with special projects

Benefits:

• An interdisciplinary, customer-oriented startup with a big vision

• Strong team culture, a successful founding team and seasoned mentors

• Flexible working hours and a state-of-the-art office in the Technology Factory in Karlsruhe, Germany

• A steep learning curve

• A startup funded by the EU, DLR and the European Space Agency (ESA)

Education Requirements:

• Degree in business administration or comparable practical experience

Experience Requirements:

• Experience in agriculture, management consulting or customer projects

• Experience with agile startup concepts such as value proposition design, design sprints and the like

Responsibilities:

• Market research, presales and representation at customer fairs

• Help with sales, meetings with potential sales partners, if possible direct sales meetings

• Listening to, documenting and prioritization of customer needs

• Establishing and helping with customer help, feeding insights to product management

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Proficiency processing large datasets with statistical packages

• Software development experience as demonstrated through course work, research projects or open source activities, preferably in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial market (Forex, stock, ETF, etc.) for finance domain

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents that are used in automation and analysis tasks

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Responsibilities:

• Develop and maintain web scraping scripts to extract data from a variety of sources.

• Collaborate with the data team to understand data requirements and implement effective scraping strategies.

• Conduct data quality assessments to ensure the accuracy and reliability of scraped data.

• Optimize scraping processes for efficiency and performance.

• Troubleshoot and resolve issues related to data extraction and scraping. Implement data storage and management solutions using SQL databases, Git, Redis, and Elasticsearch.

Experience Requirements:

• Exceptional creativity and innovative design skills

• 1-2 years experience (academic and professional) with design software, including Illustrator, InDesign, Photoshop, Dreamweaver, etc.

• Proven experience with graphic design, with a strong portfolio of work

Responsibilities:

• Collaborate, brainstorm, and strategize with multiple teams or clients for a wide range of materials that may include web pages, presentations, programming collateral, signage, internal communication, newsletters, and marketing materials

• Translate strategic direction into the high-quality design within an established brand identity

• Develop concepts by hand or with software, and execute original content determining ideal usage of color, text, font style, imagery, and layout

Experience Requirements:

• Experience and passion designing for the low/no code app building space or for enterprise customers and/or developers or Automation/Integration/Connector space.

• Demonstrated experience with the full range of product design, interaction design, and visual design.

Responsibilities:

• Design, build, and deliver high-quality UX. Create storyboards, wireframes, high-fidelity designs, and interactive prototypes to guide design and development.

• Work with the product team and actively contribute to the product development process

• Define the user experience processes and design standards

Experience Requirements:

• Strong computer science fundamentals including data structures, algorithms, and computer architecture.

• String experience in data modeling with the goal of finding useful patterns

Responsibilities:

• Design and implement machine learning, information extraction, probabilistic matching algorithms, and models for the core Ascendo.ai predictive analytics application.

• Work closely with data scientists to design and implement rule-based or algorithm-powered insights based on multiple disparate data sources.

• Get exposed to NLP, Time Series, and multivariate data sets and share ideas to improve existing models.

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off