Company Description|Job Description
BlaBlaCar's vision is to bring fairness, freedom & fraternity to the world of travel.
BlaBlaCar was created in 2006 with one dream in mind: fill the millions of empty seats on the road to create an efficient, affordable & friendly way to travel. Today, our global, trusted community counts 75 million members in 22 countries, enabling a smarter, large scale & truly sustainable transport network.
Born from a simple idea of people sharing their rides, BlaBlaCar's ambition is to become the go-to marketplace for shared road mobility. We offer long distance carpooling service, a commuting carpooling service, & since 2018 a marketplace bus service too. A filled bus emits one third of the emissions per passenger kilometer as an average car. So we want to fill those seats too!
In 2018, 84 million travellers used BlaBlaCar globally saving 1.6 million tons of CO2. Meanwhile we enabled human connections, bringing people closer together in more ways than one with 87% of members say that carpooling is an enriching experience.
BlaBlaCar offers a truly & unique international environment with a team counting 35 nationalities, serving a global member-base from 8 offices in Berlin, Kiev, Madrid, Milan, Moscow, Paris (HQ), So Paulo, Warsaw. English is the official spoken language across BlaBlaCar. We are privately-held & founder-led. Our team of 500 employees is entrepreneurial, passionate, & fundamentally mission-driven.
The marketplace team is a part of the data team, whose purpose is to supply dependable data & algorithms to BlaBlaCar employees & products.Our mission is to create value within BlaBlaCar products using machine learning (ML) & algorithms.For example, we're taking care of matching drivers with passengers, finding the best meeting points, computing prices, etc.
As an important part of the BlaBlaCar products, we need to deliver fast, scalable & fault-tolerant ML services.Those ML services must be callable by other services like search service (responsible for finding all the tips that matches a search), inventory services (responsible for handling carpool & bus inventory) as well as being fed by real-time data pipelines (apache Beam).
You mission is to help us create a scalable, lightning fast & reliable machine learning infrastructure. This infrastructure will host key machine-learning projects which is a core part of the BlaBlaCar products.For this you will put together microservices, event-driven architecture, real-time data ingestion pipelines. All this in GCP.
What you will contribute to:
Microservices skeletons with scaling mechanisms (Kubernetes, CloudRun, Docker, Python);
Data ingestion pipelines (Kafka, Apache Beam, Java);
Monitoring of algorithm performance & potential input data anomalies (Dataflow, Prometheus, Python, Go);
Algo retraining strategies as well as automatic deployment (Flux, Go, Python);
Making the data team fully autonomous in production environment, as well as maximizing our velocity with best in class tools & infrastructure.
5+ years of experience in engineering teams within tech companies;
Fluency in Object-Oriented language development (Java and/or Go is a plus) & eager to constantly learn new technologies;
A first experience in data gathering or data processing as well as technologies such as Kafka is a plus;
Startup mindset where iterating fast & delivering quality is key to the success of the project;
Hands-on, taking initiatives & collaborative attitude;
Fluent in spoken & written English, proficiency in French is a plus;
A fun & serious attitude;
A few practical details about the role :
- Start: As soon as you are ready!
- Location: Paris HQ (remote friendly)
- Contract: Permanent contract
What we offer all of our employees:
- A start-up spirit that fosters agility, teamwork & impact
- Challenging career opportunities in a high-growth & fast-paced environment
- An inspiring working environment including state-of-the-art office spaces
- Free carpooling to live our value Be The Member
- Annual BlaBlaBreak which takes us all for an unforgettable weekend
- Bi-Weekly BlaBlaTalks when we learn from each other
- Weekly Tech Demos
What is next:
If you are ready to join our exciting journey, please apply below: upload your resume in English (PDF format) & answer our questions in English.
Kindly note that only complete applications will be reviewed by our hiring team & that all your information will be kept confidential.
You can expect us to review your application within the following 2weeks. If your application fits our requirements, we will invite you to a first call followed by twointerviews with analytical tests & case study.
BlaBlaCar is an equal opportunity employer. We celebrate diversity & are committed to creating an inclusive environment for all employees.