The right career for all

Created in 2006, leboncoin.fr is an exchange platform that simplifies access to consumption, favors local relations and makes digital a tool at the service of all. leboncoin is positioned as a digital, economic, societal, innovative player, always with the same objective: to facilitate all day-to-day exchanges for all of our users. We give a second life to thousands of goods. Behind this apparent simplicity, there is a fast-growing company with 1,400 employees, where it is good to work, a company that cultivates a responsible and collective HR approach. We are also the 1st site for sales between individuals in France and the 5th most consulted site in France.

What you’ll do ​& Who you are

The location is based in Paris with up to 4 days of home-working by week (no full remote)

You like working in a team, you value people and you are highly motivated to join an innovative and dynamic company where you can propose your ideas and put them into practice: we want to meet you !

We are looking for a (Senior) Machine Learning Engineer to join our central Data Science team and help support Leboncoin's growth and more broadly Adevinta's by providing ML solutions to its various teams and thus help our millions of users.

As a ML Engineer, you will :

• Use the amount of data we have to solve various business issues (segmentation, advertising optimization, forecasting, fraud, etc.)

• Be in charge of the entire ML product lifecycle (data preparation, training, deployment, monitoring, serving, etc.)

Our Central Data Science Team consists of 8 other experienced Data Scientists / ML Engineers (5+ years experience) and is led by a Product Owner and an Engineering Manager. All the team will support you on the data tech stack and help you progress quickly

The Central Data Science Team is located within the Machine Learning Tribe which consists of teams creating business agnostic image models and has enablement teams producing business use cases for teams without data scientists / machine learning engineers.

Why Join Us :

• Use a state-of-the-art tech environment including MLFlow, Kubeflow, JupyterHub, Spark, AWS, Kubernetes

• Use advanced data science techniques and frameworks

• Impact millions of users by developing scalable ML products

• Explore a huge amount of data (hundreds of thousands of ads daily, over 1 petabyte of data)

• Join a strong Data community and Data Science Guild

• Participate in ML conferences

• Great work environment (Paris office, Great Place to Work certified)

• A big focus lately on GenAI

Your Missions:

• Gather, analyze and understand business needs from product and cross-functional teams

• Participate in framing studies before project launches

• Develop scalable predictive models meeting identified needs

• Deploy models to production to serve millions of users

• Define metrics and monitor model performance

• Manage models and services end-to-end

• Present to business teams and participate in demos. Ensure follow-up with business teams

• Perform code reviews and share best practices

• Conduct research to improve team knowledge

• Ensure good data practices across teams

Your Profile:

• 3+ years experience as a ML Engineer

• Software engineering / Data Science / ML background

• Advanced Python and experience with ML frameworks

• Knowledge of ML theory and models

• Experience deploying models to production

• Analytical mindset and ability to translate business issues into data science solutions

• Strong communication skills and teamwork

• Thorough but open to change

Bonus:

• Cloud architecture experience (preferably AWS)

• Experience across full ML product lifecycle

• Published research or open source contributions

Additional Information: The list of technologies and methodologies is for illustrative purposes. We understand that not everyone can possess all the skills and know the entire required stack from day one. If you are passionate about data and motivated to develop your skills, we encourage you to apply.

The Steps:

• 1st phone call with Gregory (Recruiter) to understand your career plan and answer questions

• 1 technical test done at home to assess ability to approach a data science project

• 1 on-site interview with 2 Data Scientists to understand your test solution, assess ability to apprehend a new use case and test technical knowledge

• 1 interview with Elisa (Manager) and 1 Data Science team member to align on expectations and ability to work together

• 1 interview with Manuel (Head of ML) and Gregory (Recruiter) to discuss company culture, benefits and answer remaining questions

After each step, Gregory will contact you to collect your impressions and determine if the step was conclusive.

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.