AI Jobs

Benefits:

• Flexible, hybrid work environment

• Office based at Station F in Paris

• Competitive compensation package

Education Requirements:

• Currently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D preferred)

Experience Requirements:

• Experience with RLHF techniques applied to LLMs or Diffusion Models

• Proven track record through personal projects or deep learning experience

• Strong coding abilities in Python and frameworks like PyTorch

Other Requirements:

• Problem-solving mindset

• Excellent teamwork skills

• Availability for 6 months

Responsibilities:

• Conduct literature reviews on RLHF and DPO methods

• Implement fine-tuning techniques for text-to-image models

• Analyze model performance and conduct rigorous ablations

• Document findings and prepare technical reports

• Contribute to foundational open-source models

Benefits:

• intensive, hands-on apprenticeship in the world of AI

• gain multidisciplinary skills that will launch your career

• unparalleled training and mentorship

• Direct Mentorship from seasoned experts

• work in a flexible, inclusive environment

Education Requirements:

• A background in marketing/sales, communications, product management or related field

Experience Requirements:

• A foundational understanding of AI concepts & use cases (GenAI, AI agents)

• Experience creating content (written or AI video) and managing websites (like Webflow)

Other Requirements:

• Excellent writing and organizational skills and a strong work ethic

• A plus for any experience with Python, technical writing or project management

• curious, organized and self-motivated individual who is passionate about the future of AI

Responsibilities:

• Develop and execute creative marketing campaigns for our open-source AI, using growth hacking tactics to expand our reach

• Command our digital presence by creating compelling content, from blog posts and white papers to videos and social media campaigns, all optimized for GenAI search

• Collaborate directly with our engineering team to test and build AI agents, turning technical features into powerful marketing stories

• Onboard new clients, create training materials and ensure they get the most out of our AI solutions

• Take the first steps in building and engaging with our future open-source community on platforms like GitHub and Discord

Responsibilities:

• You will develop solutions to challenging machine learning problems by exploring datasets, training models, and delivering great recommendations to our customers.

• You will contribute to directly impacting not only the business success of our customers but also millions of people around the world in their discovery of items better tailored to their tastes.

• Each customer, each dataset, and each model offers a unique learning opportunity to improve our tech stack, allowing us to deliver the best recommendations with the least effort.

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

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:

• 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.

Benefits:

• The opportunity to join a young and dynamic company

• Working in a team of open-minded, smart and happy people

• Opportunity to work remotely (partly at least)

Education Requirements:

• Currently studying business / marketing / sales / communication

Other Requirements:

• Sociable and service oriented; enjoys interacting with others

• Team-player attitude

• Intellectually curious and a fast-learner

• Result-oriented

• Excellent speaking, writing and presentation skills

• Fluent in French & English, written and spoken

Responsibilities:

• Qualify and prioritise incoming leads

• Engage with prospects through phone, email, video calls and live chat

• Move leads through the funnel by educating, answering questions and sending resources to potential customers

• Schedule appointments for high touch clients with the Account Executive

• Accurately enter, update and maintain daily activity and prospect information in our operating systems (Hubspot) Work with the sales & marketing team to strategise on which clients to target Show autonomy and proactivity in organising your job and in finding the most effective way to generate sales Proactively share market feedback, ideas and practices to other teams

Benefits:

• The opportunity to join a young and dynamic company

• Working in a team of open-minded, smart and happy people

• Opportunity to work remotely (partly at least)

Education Requirements:

• Currently studying business / marketing / sales / communication

Other Requirements:

• Intellectually curious and a fast-learner

• Analytical and a result-oriented person

• Excellent speaking, writing and presentation skills

• Fluent in French (reading, writing, speaking); good level in English (reading, writing at least)

Responsibilities:

• Analysis & Research: strategic customer analysis

• Digital Marketing: digital analyses, content conversion optimisation, social media, guest-posting, directories optimisation,…

• General Marketing: project management

• Growth: Lead generation through multiple channels

• Product Marketing: Learn how to build the bridge between product & sales

Benefits:

• Best in industry

• Internship completion letter

• Experience of technologies, working with sales & marketing team

• Based on the performance, a full-time role can be offered

Education Requirements:

• Sales, Advertising, Marketing as Major will be preferred though not compulsory

Other Requirements:

• Excellent interpersonal and communication skills

• Ability to work in a fast-paced team environment

• Experience with PowerPoint, Word, and Excel preferred

Responsibilities:

• Research and generate lists of potential customers

• Candidates would be involved in our product sales for Vossle

• Candidates would be required to meet merchants and sell the solution

• Provide input on customer briefs, presentations

• Help develop client relationships and retain existing accounts

Experience Requirements:

• active and curious candidates aspiring to become ASO professionals

• junior+ candidates with limited ASO experience (having completed an ASO course is a plus)

• candidates with proficiency in English and/or other foreign languages

• candidates who have previously applied for our internships are welcome to reapply

Responsibilities:

• gain expertise in building a comprehensive semantic core for any application, regardless of the language

• acquire the skills to generate high-quality text metadata

• evaluate the quantitative and qualitative impact of your initiatives

• formulate hypotheses to enhance visuals, including in conjunction with the semantic core

• conduct audits of mobile application pages and beyond

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Currently pursuing a Bachelor's degree in Computer Science or a related field

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• Familiarity with agile development methodologies

• Ability to work in a fast-paced and dynamic environment

• Detail-oriented with good organizational skills

• Proficiency in common office software (e.g., Microsoft Office, Google Workspace)

• Proactive, self-starter approach to professional delivery

• Understanding of basic project management concepts

Responsibilities:

• Product Support and Documentation

• Market Research and Customer Insights

• Cross-Functional Collaboration

• Product Testing and Quality Assurance

• Customer Support and Feedback

Education Requirements:

• University or research institute student

Experience Requirements:

• Basic knowledge of computer programming in Python language

• Minimum understanding of machine learning

• Illustrative GitHub account

Benefits:

• Reasonable expenses may be reimbursed

Responsibilities:

• Dive into the world of content creation and strategy, gaining hands-on experience in crafting engaging educational materials

Responsibilities:

• Explore the realms of digital marketing and gain practical experience in executing engaging campaigns, content creation, and analytics