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:

• 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.

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:

• 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.

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

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:

• 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:

• Medical (PPO/HMO/HDHP)

• Dental

• Vision

• FSA plans

• Additional wellness perks offered by the company like free EV charging and dog-friendly office

Responsibilities:

• Work and learn alongside the AV industry’s top talent

• Work on robotics projects that could soon be cruising on highways and through military missions

• Design solutions for their projects

• Integrate into the software stack

Responsibilities:

• Design and produce educational graphics, infographics, and visuals for social media, email campaigns, and partnership materials.

• Work with the marketing and product teams to ensure that assets communicate key product features and benefits effectively.

• Maintain and evolve SymphonyOS’s visual identity across all educational and promotional materials.

• Ensure all content aligns with brand guidelines and stays consistent across different platforms.

• Handle multiple projects at once, delivering high-quality work on time.

Education Requirements:

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.

Responsibilities:

• Lead a research project, which will be broadly focused on a problem related to generative or predictive modeling of molecular systems.

• Navigate the latest deep learning literature, extracting insights from generative modeling in adjacent domains (language, images, 3D graphics, etc.), develop novel models and training techniques for molecular data, and communicate your findings to the team.

• Carefully design and run experiments at scale to validate most promising approaches and hypotheses.

Responsibilities:

• Assist in the planning and execution of Barstool Sports live events, including logistics, setup, and on-site support.

• Work closely with internal teams and external vendors to coordinate event details.

• Help manage guest lists, ticketing, and fan engagement initiatives.

• Support sponsorship activations by ensuring proper execution of brand integrations.

• Contribute to event marketing strategies, including social promotion and content capture.