Junior Machine Learning Engineer

Company Description

We are an equal opportunities employer and place where everyone is welcome. We strongly encourage people from minority backgrounds, LGBTQIA+, parents, and individuals with disabilities to apply. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

We’re one of the world’s largest privately owned real estate tech companies and a subsidiary of Axel Springer. Our mission is to unlock everyone’s perfect place! Some of Europe’s best known digital real estate marketplaces and brands form part of our Group, they are: 🇫🇷 Meilleurs Agents, 🇫🇷 Groupe SeLoger, 🇧🇪 Immoweb, 🇩🇪 Immowelt, 🇪🇸 Housell and 🇮🇱 Yad2.

We also invest in innovative business models which shape the future of how people buy, sell, rent or lend properties and hold minority participations in companies such as: 🇬🇧 PurpleBricks, 🇩🇪 Homeday, 🇺🇸 Zumper and 🇺🇸 Parcel.

Our ambition is to be the leading Employer in PropTech across Europe and this is a pivotal time to join us as we embark on this journey enabling us to help unlock everyone’s perfect place!

What we do in the Data Science team at AVIV

The Data Science team is composed of more than 40 economists, data scientists, data engineers and machine learning engineers. Our role is to produce and continuously enrich the housing market insights (estimation models, price maps and price indices among others) that are made available on the AVIV sites in France, Germany and Belgium. 

To achieve this we operate as a research lab. This means building bridges with the academic ecosystem : five members of the team are currently PhD candidates in mathematics and economics and we have active partnerships with researchers and university professors that sit on our Scientific Committee. This also means we don’t settle for only applying existing solutions when it comes to our domain of expertise: off the shelf algorithms are just good enough, to go beyond that we are building our own proprietary solutions.

Job Description

Integrated within the Data Science Team, you will participate in various R&D projects aimed at improving the quality of real estate information produced by our data platforms in France, Germany and Belgium (and soon to be more!). You’ll be at the forefront of our initiatives to mobilise unstructured data particularly present in the real estate universe (photographs, textual descriptions, satellite imagery).

In collaboration with the Data Engineering team, you will take part in the production of R&D projects that you have worked on, you will maintain and evolve the existing image and text processing components.

In direct contact with our Scientific Director, your ideas and knowledge of the latest developments in computer vision and natural language processing will be taken into account during the selection of topics covered by the team in the short, medium and long term.

Key Responsibilities

• Participe in computer vision and natural language processing R&D projects

• Implement and improve image and text processing components of our data platform

• Keep track of the latest evolutions in these fields

• Propose new topics to be tackled by the team

Qualifications

Who we are looking for :

• You are curious and eager to learn

• You hold a masters degree in Mathematics, Computer Engineering or a degree from an Engineering school related to Signal Processing or Machine Learning

•  You have experience with Python and SQL

Additional Information

What we can offer you:

• A brilliant team dedicated to continuing our quest for transparency in the real estate market,

• A technophile and stimulating work environment, management methods that encourage autonomy and leadership,

• An exceptional working environment in the heart of Paris, with some appreciable advantages (remote work opportunities, hackathons, culture sharing,  a budget to attend conferences, team buildings, a gym, RTT, company profit sharing, a high-end corporate restaurant, etc.),

• Flexible working hours

• Plenty of room for innovative ideas and creative possibilities are part of our corporate culture

• Individual training of our employees according to their skills and knowledge

• The opportunity to work with a strong diverse international team