Crossing MindsCrossing 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.
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Apply to Crossing MindsWe 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)
- 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
Optional
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.
Apply to Crossing MindsAs a front-end developer at Crossing Minds, you'll play a pivotal role in deploying recommendations that make a huge impact on some of the biggest brands in e-commerce. Our recommendation widget is a JavaScript web application that is integrated into our customers’ Shopify storefronts. It communicates with the Crossing Minds API to deliver personalized recommendations on the Home Page, Product Page, Shopping Cart, and more. The front-end developer will work with each customer to customize the placement and style of the widget to match the native look and feel of their store.
In this role, you will collaborate with a dynamic team of engineers dedicated to building the most advanced recommendation platform worldwide, fostering true personalization for businesses of all sizes.
Your Role
- Build and customize our recommendation widget for seamless integration of recommendations into Shopify stores.
- As part of the Product Engineering team, build apps and features that make our AI Platform more accessible and useful for our customers.
- Develop, test, and maintain web applications in alignment with UI/UX design systems.
- Integrate web applications with internal and third-party APIs.
- Shape our positive and collaborative company culture.
What You Bring
- Proficiency in contemporary JavaScript.
- Proficiency in styling complex web applications using contemporary CSS.
- Experience with React.
- Ability to write strongly typed TypeScript.
- Ability to write testable code and unit tests.
- Hands-on experience with using REST and/or GraphQL APIs to retrieve and manipulate data.
- Knowledge of styling Shopify themes and Liquid templating language
- Familiarity with Node.js and backend frameworks.
- Experience with Google Cloud Platform or similar cloud platforms.
Nice-to-haves:
Joining our team means contributing to innovation in a supportive environment. You'll collaborate with a talented, creative, and dedicated team while making a tangible impact on our product's development. We offer a space to learn, grow, and craft digital experiences that resonate.
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.
Apply to Crossing MindsWhat you'll be doing
- Lead, define, and communicate the strategy, vision and roadmap of our AI platform with all key stakeholders, partnering with CEO & CTO
- Build processes to deliver AI-driven solutions that satisfy the needs of our B2B customers
- Collaborate with UX design efforts supporting product iterations of our B2B dashboard as well as integrated platforms
- Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives
- Build and nurture an agile and innovative product culture within the company, founded on the importance of continuous and rapid prototyping and learning
- Assess product development sprints and enhancement opportunities, monitor progress and evaluate results
- Develop budgets, forecasts, and metrics
- Drive innovative ideas, solutions and products through leadership and decisive action
- Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings
What you should have
- 5-7 years experience in technical B2B product management
- Demonstrated track record of building high value product teams
- Demonstrated success in shipping and iterating on products within an agile software development environment
- Ability to understand highly technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers
- Outstanding written and verbal communication skills
- Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment
- Nice to have: familiarity with ML/AI technologies, strong interest in personalization and recommendation systems, familiarity with real-time APIs and CDPs
US Employee Benefits:
75% coverage on Medical, Dental, and Vision insurance. As well as 100% coverage on Basic Life!
Employer-matched 401(k)
20-day PTO
9-days of paid holiday
Company shutdown from 12/24 - 01/01
Professional education opportunities
Voluntary Travel Policy
Visa support, if needed
Canadian Employee Benefits:
HSA $2500/ annually
20-day PTO
7-days of paid holiday
Company shutdown from 12/24 - 01/01
Professional education opportunities
Voluntary Travel Policy
Visa support, if needed
Location: Preference Toronto, San Francisco or Paris
Expected Salary Range: $150,000 - $200,000
These pay ranges are intended to cover roles across the San Francisco Bay Area. An individual's base pay depends on various factors, including geographical location and a review of the applicant's experience, knowledge, skills, and abilities. At Crossing Minds, specific roles are eligible for benefits and additional rewards, including annual bonuses and stock options. These rewards are allocated based on individual impact in the role. In addition, certain positions can earn sales incentives based on revenue or utilization, depending on the plan's terms and the employee's 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.