W skrócie
- Zadania: Twórz i utrzymuj platformę ML oraz infrastrukturę do oceny modeli ML.
- Firma: RTB House, globalna firma z innowacyjnymi technologiami marketingowymi.
- Benefity: Atrakcyjne wynagrodzenie, elastyczne godziny pracy i możliwość pracy zdalnej.
- Pozostałe informacje: Dynamiczne środowisko z możliwościami rozwoju kariery.
- Dlaczego ta praca: Pracuj z najnowszymi technologiami i wpływaj na wyniki biznesowe.
- Kwalifikacje: Znajomość jednego języka programowania i umiejętności w zakresie systemów IT.
Przewidywane wynagrodzenie mieści się w przedziale 123750 - 151250 zł za rok.
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide.
Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design.
Itembraces first-party advertising and a relentless approach to innovation.
RTB House offers end-to-end Deep Learning-powered Ad Tech products and solutions to maximize conversion, drive new customeracquisition, create engagement, and fuel long-term demand for a global base of clients.
Desired Experience
Expertise in designing and implementing complex IT systems.
Ability to develop user-friendly, versatile tools.
Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
Deep understanding of algorithms and data structures.
Initiative and creativity to improve existing solutions.
Ability to work effectively both within and across teams.
Additional Advantages
Previous experience in the field of Machine Learning is not required, but would be an asset.
Solid foundation in mathematics.
Experience with GPU programming and Machine Learning frameworks such as Torch, Py Torch, or Tensor Flow.
Proven experience with distributed systems.
Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
We Offer
A highly competitive salary.
The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
Flexible working hours, with the possibility of remote work or working from our office in Warsaw.
Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
The ability to see the immediate impact of your work on the company's business outcomes.
The possibility of publishing your results.
Daily Responsibilities
Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
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IT and R&D Machine Learning Engineer – Warsaw – pracodawca: RTB House
RTB House to doskonały pracodawca, który oferuje wyjątkowe możliwości rozwoju zawodowego w dynamicznej branży gier. Pracując w Warszawie, będziesz częścią międzynarodowego zespołu, który ceni kreatywność i innowacyjność, a także zapewnia elastyczne warunki pracy oraz bezpośrednią współpracę z czołowymi wydawcami gier. Nasza kultura pracy opiera się na wzajemnym wsparciu i inspiracji, co sprzyja osiąganiu wspólnych celów w szybko rozwijającym się środowisku reklamowym.
