Senior Machine Learning Engineer

Remote Poland, Poland
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, Otomoto, Property24.
Join OLX and see how far you can go.

JOIN OLX 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 OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) 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, and have direct contact with internal customers. You will have the 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.

We have offices in Poznan and Warsaw, but this role can be based anywhere in Poland.

What you will be doing:

    • Work hands-on and drive the technical excellence side of our ML Ops efforts in fields like real-time segmentation, deal prediction, price estimation, and monetization. 
    • Collaborate with company-wide Data teams and Site Reliability Engineers to create resilient, scalable, and reusable solutions with industry-standard logging, monitoring, and alerting
    • Lead the solution architecture designs and implementation to bring in production, scale, and maintain machine learning solutions as well as our streaming infrastructure.
    • Share your knowledge with others through technical mentoring of Data Science colleagues. Propagating best engineering practices and holding the team accountable for keeping the bar high.
    • Cooperate with the stakeholders to create solutions that follow the best technical standards and meet business objectives.
    • Measure the impact of models against company goals.
    • Work in an agile environment to deliver high-quality software against schedules.

What we are looking for:

    • Experience with production-grade cloud-based tools (e.g., AWS Athena, AWS Sagemaker, AWS Spectrum, AWS Kinesis, EKS, …) or the GCP / Azure equivalents.
    • Exposure to production infrastructure and best DevOps practices: monitoring and alerting (e.g. Grafana or New Relic), CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Kubernetes, Terraform, Gitlab CI/CD).
    • A deep understanding of Machine Learning techniques and experience applying them to solve problems using Machine Learning libraries such as sci-kit-learn.
    • Relevant experience in Data Science or data-related fields (SRE, Data Analytics, etc.) with a track record of successful project delivery. 
    • Industry experience creating and productionizing Machine Learning algorithms at scale.
    • A strong engineering background with good knowledge of Python and exposure to one more programming language (Kotlin, Java, etc), as well as engineering best practices.
    • Experience writing SQL queries and handling large amounts of data.

Nice to have:

    • Experience building large-scale batch and real-time data pipelines with open-source data processing frameworks like Spark.
    • Experience with platforms for programmatically authoring, scheduling, and monitoring workflows (e.g. Apache Airflow).
    • Experience with Tensorflow or other deep learning frameworks. 
    • Experience with stress/load testing of applications

What we'll give you:

    • Salary + annual bonus up to 15% of your annual gross salary.
    • Intellectual Property tax deductible costs are applicable up to 70% of base salary.
    • Training and conference budget + free access to O'Reilly, Udemy courses, and more.
    • MyBenefit platform package with 300 points monthly credit, private medical care (PZU Zdrowie), Ask Henry services, and more.
    • 100% remote work and the possibility to work from our offices in Poznan and Warsaw.
    • Company mobile phone (Apple or Android), 
    • MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable.
    • Strengths-based personal career development.
    • The opportunity to learn from each other and become better every day.
    • We believe that the strength of the team is directly related to the well-being of each individual. These are not empty words but we do care for each other and help everyone grow. If you feel tired of feeling like a gear in soulless machinery come and join our team.

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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