Benefits:

• Hands-on Experience – Work on real AI projects and develop practical skills.

• Mentorship & Networking – Learn from experts and build valuable connections.

• Exposure to Cutting-Edge Technology – Work with the latest AI tools and innovations.

• Flexible working environment

• Volunteer time off

Education Requirements:

• Have completed at least 75% of a master's degree in computer science or an equivalent numerate discipline.

• Background in computer science, IT, data science, maths, linear algebra, statistics.

Experience Requirements:

• Data analysis and practical hands-on experience with datasets, ML models and evaluations.

Other Requirements:

• Familiarity with Machine Learning, Deep Learning (special focus on Transformers) and Natural Language Processing.

• Languages and technologies: Python, PyTorch, Huggingface, GiT, pandas/polars, sklearn.

• Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.

• A proficient level of interpersonal and communication skills

• Fluent level of Spanish and English (level B2)

Responsibilities:

• Investigate, develop, and apply machine learning innovations to a well-defined use case.

• Perform feasibility studies and analyze data to determine the most appropriate solution.

• Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.

• Be able to communicate results to tech and non-tech audiences.

• Experience working with large real-world datasets and scalable ML solutions.

Benefits:

• Flexible work environment

• Peer to peer recognition program

• Comprehensive health insurance

• Short Friday

• Hybrid work model

Education Requirements:

• Students on the last semester/year of Marketing, International Relations, Economics, Industrial Engineers and similar courses

Other Requirements:

• Advanced English level

• Strong analytical skills

• Attention to detail

• Intermediate level of Microsoft Office

Responsibilities:

• Learn how to use NielsenIQ's methodologies

• Understand the main Innovation services

• Master basic analytical tools

• Support the team on analysis

• Know how to run and interpret in-market data

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Master degree

Other Requirements:

• Excellent analytical and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the FMCG industry

• Proficient in Microsoft Office Suite, especially Word, Excel, and Powerpoint (SQL would be a plus)

• Fluency in Italian & English

Responsibilities:

• The intern will execute projects with limited supervision by compiling, analyzing, and interpreting sales data and constructing presentations.

• The intern will acquire skills related to the FMCG and distribution market, familiarize themselves with the tools and metrics primarily used by Retailers to address competitors and market trends.

Benefits:

• Flexible working environment

• Volunteer time off

• LinkedIn Learning

• Employee-Assistance-Program (EAP)

• Internal trainings will be provided together with detailed onboarding agenda.

Education Requirements:

• Degree in Management, Economics, Marketing, Statistics, Information Management

Other Requirements:

• Native in Italian and good level of English

• Excellent analysis and numerical reasoning skills

• Excellent interpersonal and teamwork skills

• Interest in the consumer goods market

• Knowledge of Office Packages (Excel, PowerPoint)

Responsibilities:

• Support Customer Success executives in analyzing in-market data, studying results, and summarizing insights in emails, reports, and slides

• Manage basic client requests

• Deliver insights on FMCG/retail phenomena and consumer behaviors

• Be point of contact and interface with several company departments, in order to be a collector among them and the clients

• Prepares and delivers quantitative analysis and presentations (category overview as well as issue based) building a story and finalizing conclusions and proposes recommendations.

Education Requirements:

• Bachelor's degree in computer science, information science, or similar

Experience Requirements:

• 0 to 1 years of experience.

• Hands-on experience in Python (Django, SQL, Pandas, Pyspark)

Other Requirements:

• Knowledgeable in AWS ETL services.

• Exceptional analytical and problem-solving aptitude.

• Interpersonal, communication, and collaboration skills

Responsibilities:

• Develop, test, and maintain efficient, reusable, and reliable Python code using Django framework.

• Design and implement data models and database schemas using SQL for storage and retrieval of application data.

• Collaborate with front-end developers to integrate user-facing elements with server-side logic.

• Work closely with data engineers and analysts to understand requirements and implement data processing pipelines using Pandas and PySpark.

• Optimize application performance, scalability, and reliability through code refactoring, database optimization, and system architecture improvements

Education Requirements:

• Currently pursuing or recently completed a Bachelor’s degree in Business, Marketing, Communications, or a related field

Experience Requirements:

• Prior internship or part-time experience in a sales, marketing, or customer-facing role is preferred but not required

• Interest in SaaS, education technology, or B2B sales is required

• Demonstrated ability to work collaboratively in a team setting and take initiative on assigned tasks

Other Requirements:

• Strong verbal and written communication skills

• Ability to draft professional emails and contribute to internal and client-facing communications

• Comfortable presenting ideas clearly in meetings and written reports

• Basic proficiency in analyzing numerical data and interpreting charts or reports

• Comfortable working with metrics such as conversion rates, revenue projections, and pipeline stages

• Ability to think critically and apply logical steps when problem-solving

• Capable of prioritizing tasks and adjusting to shifting deadlines or project needs

• Willingness to ask questions and seek clarity when working through unfamiliar tasks

• Proficiency with Microsoft Office, particularly Excel/Sheets, Word/Docs, and PowerPoint/Slides

• Experience using or willingness to learn CRM tools (e.g., HubSpot)

• Comfortable navigating online platforms and communication tools such as Microsoft Teams

• This position does not require travel

Responsibilities:

• Assist with identifying potential client leads through online research, databases, and digital outreach

• Support outbound email and call campaigns, helping initiate contact with educational institutions and corporate training providers

• Help maintain and update the sales pipeline in our CRM system (HubSpot), ensuring data accuracy and timely follow-ups

• Assist in managing communication with prospective and existing clients under the supervision of the sales team

• Track customer interactions and help prepare materials for client onboarding and relationship management

Education Requirements:

• Bachelor's Degree in Computer Science, Mathematics, Statistics, Engineering, or related fields

Experience Requirements:

• Experience in data science through professional work, academic coursework, or completed data science projects

Other Requirements:

• Ability to translate mathematical and data science ideas into Python snippets

• Knowledge of machine learning algorithms

• Strong problem-solving skills, including the ability to think creatively and critically analyze data to identify trends and insights

• Effective verbal and written communication skills to articulate complex technical concepts to both technical and non-technical audiences

• Strong attention to detail, time management, and organisational skills

Responsibilities:

• Collaborate with the product and Data Science teams to identify business needs and define project goals and objectives

• Assist with analysing data, statistical analysis, and the development of machine learning models

• Assist in designing and conducting experiments and simulations to discover patterns, trends, and insights in data

• Participate in team meetings and discussions, share progress updates, and provide suggestions for improving project outcomes

• Participate in the data preparation process, including data cleaning, feature engineering, and data transformation

Benefits:

• Hands-on experience in product management for cutting-edge AI technology

• Exposure to the rapidly growing legal tech industry

• Mentorship from Senior Product Manager and Head of Product

• Opportunity to contribute to exciting projects with measurable impact

• Networking opportunities within a dynamic tech startup environment

Education Requirements:

• Currently pursuing a Masters or PhD degree at a top tier university in any of the following areas: MBA, Computer Science, Engineering, AI ML or NLP

Experience Requirements:

• Prior experience working with cross-functional teams

Other Requirements:

• Demonstrated interest in product management and technology

• Strong analytical and problem-solving skills

• Excellent communication and interpersonal skills

• Basic understanding of AI and machine learning concepts (preferred)

• Strong interest in legal tech or prior experience in the legal industry (preferred)

Responsibilities:

• Assist in developing and refining product strategies for our AI-powered contract review tools

• Conduct market research and competitive analysis to inform product decisions

• Collaborate with engineering, legal content, GTM teams to gather product feedback and prioritize product requirements

• Help draft product requirement documents

• Participate in user testing and feedback sessions

Experience Requirements:

• 0-2 Years experience in digital marketing

• Experience with social media marketing platforms

• Experience with SEO is a plus

Other Requirements:

• Excellent communication and English language skills

• Passion for innovation and staying up to date with industry trends

Responsibilities:

• Implement targeted online marketing activities

• Social media campaign design, launch and management (setup, posting, moderation, regular reporting on performance using analytics, insights, etc.)

Benefits:

• Real-world experience in a high-growth startup environment

• Mentorship from experienced marketers and content creators

• A chance to build your portfolio with meaningful, public-facing work

• Exposure to AI video technology and tools

• Flexible work environment with a team that values creativity and curiosity

Education Requirements:

• Current student or recent graduate in marketing, communications, media studies, or a related field

Other Requirements:

• Passion for social media, trends, and storytelling

• Basic knowledge of platforms like TikTok, X, Instagram, LinkedIn, and YouTube

• Strong written communication skills and a creative eye for what works on social

• Eager to learn, take initiative, and work in a fast-paced environment

• Enthusiastic about startups, tech, and the future of AI-generated content

• If numbers aren’t your thing, this role isn’t for you

• Tap into your strong connections with influencers and creators across platforms like Instagram, YouTube, and TikTok

Responsibilities:

• Strategically scale our social presence: Launch bold, innovative social media campaigns that not only reach but captivate an ever-growing audience across X, TikTok, and YouTube

• Create and curate engaging content: Harness the full power of HeyGen’s platform to produce videos that don’t just follow trends—they set them

• Analyze and optimize: Use analytics to steer the ship. See what’s buzzing and why, then use that intel to refine our strategy and boost engagement

• Collaborate: Work hand-in-glove with product teams to spotlight new launches and turn new features into hot topics

• Build relationships with top influencers: Cultivate a network of trusted creators to drive word-of-mouth, collaborate on content ideas, and execute bold campaigns

Benefits:

• Hands-on experience in applied AI research

• Mentorship from top experts in AI and generative modeling

• Real-world impact through contributions to widely-used products

• A fast-paced, collaborative environment at the forefront of innovation

• Potential pathway to a full-time role based on performance

Education Requirements:

• Enrolled in or recently graduated from a Master’s or Ph.D. program in Computer Science, AI, or a related field

Experience Requirements:

• Hands-on experience with deep learning and generative models (GANs, diffusion, transformers, etc.) applied to video or image generation

Other Requirements:

• Demonstrated research excellence, including top-tier publications (e.g., CVPR, ICLR, NeurIPS, ICML)

Responsibilities:

• Research and prototype state-of-the-art generative models for video and avatar generation

• Design and implement algorithms for real-time video generation and multimodal interactions

• Collaborate with cross-functional teams to integrate research into HeyGen’s core platform

• Stay up-to-date with the latest advancements in machine learning, computer vision, and generative AI

Education Requirements:

• Currently pursuing a degree in Marketing, Communications, or related field

Experience Requirements:

• Experience with social media platforms

• Basic understanding of marketing analytics

Other Requirements:

• Strong written and verbal communication skills

• Creativity and attention to detail

Responsibilities:

• Creating content for social media and blog posts

• Assisting with email marketing campaigns

• Analyzing marketing metrics and providing insights

• Supporting event planning and execution

Education Requirements:

• Currently pursuing a degree in Design, HCI, or related field

Experience Requirements:

• Proficiency in design tools (Figma, Adobe XD)

• Understanding of user-centered design principles

• Portfolio demonstrating UI/UX projects

Other Requirements:

• Strong visual design skills

Responsibilities:

• Creating user-centered designs for our AI agent platform

• Developing wireframes, prototypes, and high-fidelity mockups

• Conducting user research and usability testing

• Collaborating with engineers on implementation

Education Requirements:

• Currently pursuing a degree in Computer Science, Machine Learning, or related field

Experience Requirements:

• Experience with ML frameworks (PyTorch, TensorFlow)

• Understanding of fundamental ML concepts and algorithms

• Strong programming skills in Python

Other Requirements:

• Strong analytical and problem-solving skills

Responsibilities:

• Developing and implementing machine learning models for our AI agent platform

• Optimizing existing ML pipelines and improving model performance

• Collaborating with the engineering team on AI/ML infrastructure

• Researching and implementing state-of-the-art ML techniques

Education Requirements:

• Currently pursuing a degree in Computer Science or related field

Experience Requirements:

• Experience with React and modern JavaScript

• Knowledge of backend development principles

• Familiarity with databases and API design

Other Requirements:

• Strong problem-solving abilities

Responsibilities:

• Developing features for our web-based AI agent platform

• Working with modern technologies including React, Node.js, and TypeScript

• Implementing responsive and accessible user interfaces

• Contributing to our backend services and APIs

Responsibilities:

• Design and develop React-based web frontend projects and AI products

• Collaborate on product development planning and implementation strategies

• Stay current with the latest advancements in ML and AIGC technologies and implement them in our products

• Create technical documentation, tutorials, blogs, and technical specifications

Responsibilities:

• **Develop and execute** communication design projects aligned with Flowith's brand strategy, including promotional websites, product animations, and launch materials

• **Coordinate brand and design workflows**, ensuring efficient collaboration between creative, content, design, and development teams

• **Manage production timelines** of promotional materials, improving delivery efficiency and visual quality while maintaining brand consistency

• **Oversee the execution** of key communication projects such as product launches, marketing campaigns, and social media visual content

• **Maintain smooth communication** with stakeholders to ensure clear project objectives, controlled progress, and on-time delivery

Responsibilities:

• **User Support & Problem Resolution** * Master Flowith's core functionalities including Knowledge Garden, Oracle, and Canvas

• Deliver timely and professional technical support and consultation services

• Analyze user feedback to identify and address common issues

• **Content & Community Management** * Guide users in effectively leveraging Flowith to build personal knowledge bases and Agents

• Facilitate knowledge exchange within the community, nurturing the creation and trading of thought chains and knowledge bases

Responsibilities:

• Work with the Visualization team to design, develop, and maintain data warehousing solutions supporting data transformation, wrangling, and storage needs.

• Understand and utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Learn to write and optimize complex DAX calculations to provide meaningful insights from data.

• Learn to create and manage Power Query transformations to clean, transform, and shape data for reporting.

• Assist in developing interactive and visually appealing dashboards and reports using Power BI.

Responsibilities:

• Assist in developing and refining AI models under the supervision of senior AI engineers.

• Participate in the deployment of machine learning algorithms and models into production environments.

• Support the maintenance and improvement of existing AI systems.

• Engage in data pre-processing, cleaning, and analysis to prepare datasets for model training.

• Contribute to the implementation of natural language processing, computer vision, and other AI technologies.