Junior Machine Learning Engineer

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 OUR REAL ESTATE DATA SCIENCE TEAM! 
We are a diverse team that analyzes the status quo, improves buyer & seller interactions, optimizes the user experience, and monetizes on the delivered customer value. For us, revenue growth is the good fruit of our work and not the goal itself.
We invite you to join a team that works with Real Estate platforms (Otodom, Storia, Imovirtual) across the entire EU region. A team that breaks through walls and builds 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.
In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LLM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What you will be doing:

• Work in the Data Science team from a platform and marketplace perspective.
• You will help build models, refine them for optimal performance, test them, and eventually deploy them to production. 
• You will maintain strong relationships with stakeholders. This involves asking numerous 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 efficient and elegant 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. 
• Collaborate 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 are we looking for:

• At least 1 year of professional experience as a machine learning engineer
• Good knowledge of the best engineering practices
• Experience bringing machine learning models into production
• Good engineering background: excellent knowledge of Python, exposure to other programming languages (Kotlin, Java, etc)
• Good understanding of AWS and experience using AWS for deploying machine learning solutions
• Experience in using machine learning frameworks in production settings: Scikit-Learn, TensorFlow (or similar)

Nice to have:

• Experience with serving machine learning models at scale
• Experience with building data pipelines using tools like Spark and Airflow
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform

Our hiring process:

• Recruiter Interview 
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our benefits:

• Permanent contract (we are not offering a B2B option)
• Salary + annual bonus up to 10% of your annual gross salary
• IP Rights’ Costs (tax-deductible costs up to 70%)
• Work with and impact all OLX websites across Europe
• Train and conference budget, and free access to Udemy courses
• A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by PZU Zdrowie, Ask Henry services, and much more
• 100% remote work (and the possibility to work from our offices in Poznan and Warsaw)

Diversity, Equity and Inclusion at OLXOLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
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