Machine Learning Engineer
Akeneo Product Cloud is a composable solution for orchestrating, activating, and optimizing product experiences across all owned and unowned channels. With its open platform, leading PIM, add-ons, connectors, and marketplace, the Akeneo Product Cloud improves product data quality and accuracy, simplifies catalog management, and accelerates the sharing of product information across all channels and locales.
At Akeneo, our teammates are the driving force behind who we are and where we want to go as a company. We work every day to shape a first-class work environment and culture, which is rooted in our core values of Humility, Benevolence, Openness, Innovation and…Beer (aka. comradery)! We want our people to help us grow and to grow with us, and that’s why we do whatever it takes to equip our employees with everything they may need to make a tangible impact on themselves, the business and the company. Let our intrepid three-headed mascot #ZiggyTheHydra welcome you into her world and join us at Akeneo! Learn more about who we are as an employer and about our Culture and Values via our Career page.
Job description
The AI team’s mission is to dramatically improve our customers’ experience by automating product-related tasks, such as categorizing products in a pre-defined taxonomy and extracting attributes from the product description.
Our AI team members are set to become rockstars in their field. You will have the opportunity to work on cutting-edge projects and to collaborate with domain experts, absorbing knowledge from the bests while contributing your own expertise.
Your role:
As a Machine Learning Engineer, you will work closely with Max (Head of AI), Théo (Senior Machine Learning Engineer) and Akeneo’s product teams. You will have a key role in developing ML algorithms for various modules on our platform. Specifically, you will:
- Train, deploy and monitor ML models.
- Lead ML support for our customers, explaining model predictions, addressing model-related issues and building tools to automate this process.
- Stay up to date with cutting-edge advancements in Machine Learning, focusing on transformer architectures, LLMs, zero shot classification etc.
- Pitch, experiment and adapt new methods to our use cases.
- Oversee ML projects end-to-end: problem formulation, metric determination, data collation, model training, deployment, and production monitoring.
- Contribute to and maintain internal ML libraries, respecting coding best practices, such as peer-review and automated testing.
- Collaborate with other members of the team, and other teams at Akeneo (e.g. Product teams).
Your profile:
You are the perfect fit for the job if:
- You hold a Masters or a Ph.D. in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
- You have at least 3 years of experience (excluding internships) in machine learning, in particular you have manipulated several deep learning methods.
- You brought several deep learning models to production, and built mechanisms to monitor them.
- You have a strong experience with python and software engineering best practices.
- You have experience with Pytorch or another major deep learning framework.
- You have experience deploying your code using docker.
- You are ready to handle projects which have a significant impact in the success of Akeneo.
- Bonus: You have a strong background in transformers based architectures.
- Bonus: You have experience in retail or e-commerce.
- Bonus: You have experience in MLOps.
Life at Akeneo
🌎 Diverse, cross-cultural team.
🎉 Annual All Staff gathering week, office parties, team offsites
👋 Top-notch 8-week onboarding programme for new teammates, including live presentations, online courses you can take at your own pace, and an exhaustive checklist with all the resources, calls-to-action and support contacts for a smooth integration into the company.
🏰 The position is open in the lovely city of Nantes: Enjoy a 19th-century historical building, tour our private garden and stop by the pond while doing your team catch-up. We also do great barbecues when the sun is out.
General
💰 Competitive package and complementary health insurance
Time off
⏰ Flexible working hours, hybrid home/office policy
👶 33 days paid leave if you are the second parent (instead of 28 days)
Health & Wellness
🧘Individual and confidential coaching sessions with a mental health practitioner of your choice
💆 Massage sessions offered regularly and at a reduced price
Equipment
🔊 Best-in-class communication and collaboration tools: Slack, Notion, Google Suite, Jira, GitHub...
💻 Choose between MacOS or Linux
💸 Personal remote allowance to maximize your home office environment
Professional Development
🎫 Participation in in-house events welcoming external guests (ie. Meetups) or industry events
🧑🏫 Group and individual training opportunities
Perks & Discounts
😋 Get your Swile lunch card funded at 50% by the company
🚇 Receive a 50% discount on the transportation pass of your choice
📽️ Comité Social et Economique: advantages and deductions on cultural activities, entertainment etc.
👶 Take advantage of our company crèche whether you need a nursery spot (subject to availability), emergency childcare, or care for Wednesdays and school vacations.
Corporate Responsibility
🤲 Employee Volunteering program: give back to the community with two days per year dedicated to supporting the charities of your choice.
🧑🤝🧑 Diversity & Inclusion: Akeneo provides and ensures a safe work environment for everyone, regardless of seniority, gender identity, and expression, sexual orientation, disability, mental illness, neuro(a)typicality, personal appearance, body size, race, ethnicity, age, religion, nationality, or other characteristics. Akeneo is deeply anti-racist, anti-homophobic, anti-sexist, anti-ableist, and inclusive. We create the right conditions for you to feel safe and be yourself!
Interview process
- Say hi! If your application has caught our attention, you will receive an invitation to a 30-minute conversation with one of our Talent Acquisition Specialists, where you’ll learn more about the role and about Akeneo.
- Meet your future manager! This 45-60 minute interview will allow you to go in more depth into what the role entails and discuss your experience and skills.
- Meet the team! Project yourself into the reality of the position and confirm our company culture fits you with one or two additional interviews with your future colleagues or stakeholders.
- Sign your offer!
At all stages of your recruitment process, our Talent Acquisition team is committed to giving you an update in a one-week time frame.
So? Is this job description all about you? Then what are you waiting for - click that Apply button so that we can meet you without further delay!
Feeling hesitant because you think you’re not checking 100% of the requirements for the job, but still feel confident and motivated to grow into the position? Don’t hesitate to apply anyway, or reach out to us for questions or clarifications!
- Department
- Product
- Role
- Data
- Locations
- Paris, Nantes
- Remote status
- Hybrid Remote
- Employment type
- Full-time


The Product Department @Akeneo 🧑🔬
We're a software company, and therefore we strive for innovation! The Product department gathers +150 talented people working daily on making Akeneo a top-of-the-line SaaS Enterprise Suite.
About Akeneo
Akeneo Product Cloud is the complete and composable SaaS-based solution to activate your product story wherever your customers are. Deliver engaging, world-class product experiences across all of your owned and unowned channels with agility and accuracy.
Machine Learning Engineer
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