--- title: 'Applied Machine Learning Internship at Crossing Minds' canonical: 'https://feeny.ai/job/applied-machine-learning-internship-crossing-minds-paris-6n2dnhjgkj41' type: 'job' last_seen: '2026-10-18' --- # Applied Machine Learning Internship at Crossing Minds - **Company:** Crossing Minds - **Location:** Paris, France - **Employment:** full-time - **Work type:** onsite - **Posted:** 2022-11-29 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/crossing-minds/0161efe4-4564-4a17-aa98-f1de6d561ec5 ## Job description Crossing Minds is an artificial intelligence company founded in 2017 by AI researchers Alexandre Robicquet, Dr. Emile Contal, and Google X founder Dr. Sebastian Thrun. While researching together, they realized there was a more thoughtful way to make recommendations. While our founding team includes world-renowned AI pioneers and experts, our company exists because we believe that the latest advancements in machine learning shouldn’t be locked up in academia. Instead, they should be accessible through safe and concrete products built for everyone. Crossing Minds raised $10 million in October 2021 and is the only AI recommender system backed by Shopify. Our customer roster includes companies such as Brut, Chanel, Camp, and Reelgood. We are now in a new growth stage with a team of 30 members and are excited to continue developing talent in our San Francisco, Paris, and Toronto offices. We seek an applied machine learning engineer intern to join Crossing Minds’ Paris office. As part of the applied machine learning engineering team at Crossing Minds, you will work with other engineers on the team to unlock the value of recommender systems for our customers. 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. Applied machine learning engineers are also critical contributors to the evolution of our core recommendation platform. 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. ## What you should have - Proficiency in Python, NumPy, and pandas libraries - Data-oriented problem-solving skills: exploration, visualization, features extraction, and model tuning - Understanding Machine Learning models: objective functions, regularization, gradient descent, optimization techniques, the curse of dimensionality, etc. - ML feature engineering (e.g., tokenization, pre-processing and aggregation, pre-trained embeddings) Optional - Experience with recommender systems in the form of an internship, course, or personal project - Experience with software development practices, including git proficiency, design patterns, and contributing to large code bases - Experience as a Machine Learning Engineer in a professional setting - Experience in customer-facing roles Our company-wide communication language is English (written & spoken). We would appreciate if you could send us your application’s content (CV, cover letter) in English. This internship is a pre-hire position, and our goal would be to see this internship convert into a full-time position. The Crossing Minds team prides itself on our team culture and values. Our differences are valued, and our authenticity is celebrated. We are committed to nurturing an environment of mutual respect where equal employment opportunities are available to all. ## About Crossing Minds ## Company Overview - **One-liner**: Crossing Minds builds AI-powered real-time recommendation and personalization platforms for e-commerce and digital experiences, and was acquired by OpenAI in 2025. - **Entity Type**: Private (acquired by OpenAI) – previously venture-backed with Series A funding - **Headquarters**: San Francisco, California, USA (with offices in Toronto, Canada, and Paris, France) - **Founded**: 2017 - **Founders**: Not publicly listed, but described as “world-renowned AI pioneers” ## Core Business - Primary industries: E-commerce, retail, digital content, and enterprise AI personalization - Target customers: B2B – e-commerce companies, retailers, and digital platforms needing real-time recommendation engines - Mission statement: “help businesses engage their customers … help people discover products they love … help turn curiosity into loyalty” [builtin.com](https://builtin.com/company/crossing-minds) ## Products & Services - **Crossing Minds Platform**: A real-time 1:1 personalization engine that recommends products, enables intelligent upselling/bundling, and personalizes email/SMS campaigns. Tailored to each store’s unique attributes. [crossingminds.com](https://www.crossingminds.com/) - **RAGSys**: A real-time, KPI-driven retrieval engine that lets LLMs continuously learn and improve based on live data without manual fine-tuning. Launched in 2024. [linkedin.com](https://linkedin.com/company/crossing-minds) ## Market Standing - **Valuation/Market Cap**: Not disclosed (acquired by OpenAI in June 2025; terms not public) - **Key Metric**: Total Funding $13.5M; Annual Revenue ~$6.4M (latest estimate) [linkedin.com](https://linkedin.com/company/crossing-minds) - **Notable Investors/Partners**: Radical Ventures (led Series A), Shopify (only recommendation engine backed by Shopify), and other seed investors. [linkedin.com](https://linkedin.com/company/crossing-minds) - **Growth Signals**: Acquired by OpenAI in June 2025, signaling validation of technology and talent. Previously showed strong headcount (but recently dropped to ~3 employees, likely post-acquisition integration). [linkedin.com](https://linkedin.com/company/crossing-minds) ## Competitive Advantages - **Deep AI expertise**: Founders are AI pioneers with deep learning and recommendation system background. - **Real-time + privacy-first**: Session-based recommendations without compromising customer privacy. - **Shopify backing**: The only recommendation engine officially backed by Shopify. - **RAGSys innovation**: Pioneered in-context learning for LLMs, enabling continuous self-improvement without manual fine-tuning. - **Acquisition by OpenAI**: Now part of the leading AI research organization, with access to massive resources and mission alignment. ## Strategic Focus - Current priority: Joining OpenAI to “bring our work and values into a mission to ensure artificial general intelligence benefits all of humanity.” [crossingminds.com](https://www.crossingminds.com/) - Previously focused on scaling real-time personalization and RAG-based retrieval; now likely contributing to OpenAI’s broader AI infrastructure and personalization capabilities. ## Why Work Here - **Culture values**: Integrity, Empathy, Empower Others, Over-Deliver. [ragsys.crossingminds.com](https://ragsys.crossingminds.com/company-resources/company/careers) - **Work model**: Hybrid and remote options available. Open roles include Customer Success Manager (Remote San Francisco/Toronto), Applied Machine Learning Internship (On-site Paris), Head of Product (Hybrid San Francisco/Toronto/Paris). [jobs.lever.co](https://jobs.lever.co/crossing-minds) - **Perks**: Not detailed, but emphasis on “pushing boundaries” and “building with purpose.” As part of OpenAI, employees may gain access to cutting-edge AI research and resources. - **Engineering culture**: Strong focus on real-time ML, RAG, and deep learning; team distributed across US, Canada, and France. [linkedin.com](https://linkedin.com/company/crossing-minds) - **Note**: The company has been acquired, so hiring may be limited to roles needed for integration into OpenAI. Current openings (as of search date) are still posted on Lever. ## Sources 1. [crossingminds.com](https://www.crossingminds.com/) – Acquisition announcement and company description 2. [linkedin.com](https://linkedin.com/company/crossing-minds) – Company details, funding, revenue, headcount, and recent posts 3. [builtin.com](https://builtin.com/company/crossing-minds) – Overview, office locations, and mission statement 4. [jobs.lever.co](https://jobs.lever.co/crossing-minds) – Current open positions and work model 5. [ragsys.crossingminds.com](https://ragsys.crossingminds.com/company-resources/company/careers) – Career page with culture values ## Other roles at Crossing Minds - [Customer Success Manager](https://feeny.ai/job/customer-success-manager-crossing-minds-san-francisco-k9d7q5asd3bj) — San Francisco, CA / Toronto, Canada - [Head of Product](https://feeny.ai/job/head-of-product-crossing-minds-san-francisco-5b9s1mxdxkvk) — San Francisco, CA / Toronto, Canada / Paris, France - [Head of Marketing](https://feeny.ai/job/head-of-marketing-crossing-minds-remote-9ct7r5cqvffb)