Machine Learning Engineer | GenAI (Video Services)
Barcelona, Spain
OLX – Data Science and Analytics /
Full-time /
Remote
WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade.
We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom, Property24.
Join OLX and see how far you can go.
JOIN OLX GENERATIVE AI DATA SCIENCE TEAM
We invite you to join us on a critical and exciting mission! Your job will be to build Generative AI video services for all OLX customer units (Motors, Real Estate, Goods, Jobs, and Services).
This is a unique opportunity! You will be part of a strategic movement inside the company, building a team from scratch! A team that will break through walls and build cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.
As a Machine Learning Engineer in the team, you will work with an amazing squad composed of different profiles such as Data Scientists, Engineers, Product Managers, and Analysts.
The team will be focusing on building and deploying disruptive Generative AI video services at scale across all OLX platforms. The solution should be capable of generating beautifully designed videos based on user-provided content in a cost-efficient manner. You will be responsible for ensuring that ideas either are deployed to all users or die in production not surviving the validation. Iterate quickly, fail fast, learn, and improve. The power is yours!
What you will do as an MLE in Data Science at OLX:
- Work in the Data Science team, focusing on LLMs and GenAI, from a platform and marketplace perspective.
- You will help to build models, tinker around them to make them work, test them and eventually deploy to production. You will see your stuff in action and you will be able to measure the true impact of your models (less expected, yet a requirement).
- You will maintain strong relationships with stakeholders. This means asking a lot of questions to business people, and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering to get things done in an elegant and timely manner.
- Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
- Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
- Partner with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
- You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Bulgaria, Romania, Poland, Ukraine, Kazakhstan, and Uzbekistan.
- Most importantly you will have fun working with us :)
Who we're looking for:
- At least 2 to 3 years of professional experience as a MLE
- At least some knowledge of Generative AI and LLMs (e.g., foundations like Transformed-based architectures, embeddings, etc.)
- Good knowledge of the best engineering practices
- Experience with building data pipelines using tools like Spark and Airflow
- Experience with serving machine learning models at scale
- Strong engineering background: excellent knowledge of Python, exposure to other programming languages (Kotlin, Java, etc)
- Experience in using machine learning frameworks in production settings: Scikit-Learn, TensorFlow (or similar)
- Experience using cloud-based architectures for deploying machine learning solutions
- Proficient in English with excellent written and oral communication skills
Nice to have:
- Exposure to other programming languages in the past such as Kotlin, Java, Scala, etc
- Experience bringing models into production and serving models at scale
- Experience using AWS for deploying machine learning solutions
- Experience with building data pipelines using tools like Spark and Airflow
- Understanding of A/B testing and experimentation
- Exposure to MLOps tools
What we offer:
- Permanent contract
- Salary + annual bonus up to 15% of your annual gross salary
- Work with and impact all OLX services in Europe
- Train and conference budget and free access to Udemy courses
- Health insurance and life insurance
- MacBook Pro along with necessary accessories to make your work comfortable
- 100% remote work (and the possibility to work from our office in Barcelona)
Why join OLX?
At OLX, we invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training, and leadership behaviors a key focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.
Diversity, Equity and Inclusion at OLX
At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.
If you are excited about this role, and your past experiences do not align perfectly with every criteria asked for in the job description, we would still like you to apply. You may be just the right candidate for this or other opportunities across the business, and we'd like to hear from you.
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