Akeneo is the product experience (PX) company and global leader in Product Information Management (PIM); creating a world where every product interaction is an experience that guides consumers and professionals to the best purchase, anytime, anywhere. Akeneo empowers business leaders with software, education, and an engaged community all focused on the practice of product experience management.
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 Humble Hunger, Diligent Benevolence, Responsible Pioneers and Inclusive Community! Our Purple Fire isn’t just a set of values; it’s our unique way of igniting passion and driving excellence. Bold and fun, with a hint of the unexpected - it is the essence of who we are. 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.
The Machine Learning/AI team’s mission is to dramatically improve our customers’ experience by automating tasks they do on their products, such as categorising products in a predefined taxonomy (which may change from one customer to another) and detecting and extracting product attributes through the product description.
As a Senior Software Engineer in the ML/AI team, you will work on reinforcing, optimising and scaling our Machine Learning infrastructure. You will work directly with Machine Learning Engineers to design and implement automatic training pipelines on a large amount of data and a scalable way to serve them for inference.
Joining us is not only an opportunity to work on cutting-edge projects and deliverables but also to be part of a team of experts in their domain, learning many things from them as well as sharing your own expertise.
While experience with machine learning is not mandatory, we do require significant experience in software engineering and a keen interest in learning and working with machine learning engineers.
What you’ll do:
- Write robust Python software code in our machine learning repository while applying best software practices to support Research Scientists in tasks such as fetching training data, preprocessing it, and orchestrating the training runs.
- Contribute and maintain the infrastructure in which the ML models are trained and deployed.
- Collaborate with engineers from other product lines to assist them integrating our Core AI platform into their product, and contribute to develop this platform taking into account scalability and monitoring constraints.
- Strong experience with Python and software engineering best practices, ideally in a company in which you worked hands-on with machine learning engineers and data scientists
- Understanding of modern machine learning concepts and state-of-the-art deep learning.
- Write clean and maintainable code
- Ensure software quality through testing and code review
- DevOps experience, especially in managing large-scale ML infrastructure.
- Optional: Experience working with training frameworks, ideally PyTorch
🌎 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 and hybrid setup (up to 3-4 days per week working from home)
👶 33 days paid leave if you are the second parent (instead of 28 days)
🏝️ Work from Anywhere Scheme - Explore the possibility of working from anywhere in the world for up to 30 days per year
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
🧑🏫 A €1,000 learning budget per employee per year.
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.
🌈 Join one or several of our Employee Resource Groups and take an active part in promoting diversity and inclusion within our company.
🧑🤝🧑 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
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!
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