IT and R&D Machine Learning Engineer Warsaw, Masovian Voivodeship, Poland

Rtb House; Warszawa; Hybrid; PLN 190,000 - 350,000; Full time

Benefits offered by this job

Highly competitive salary

Flexible working hours

Access to latest technologies

Job summary

A global marketing technology firm located in Warsaw is seeking talented individuals to develop and maintain machine learning training platforms and bidding infrastructure. The role requires expertise in designing complex IT systems and proficiency in programming languages like Python, C++, and Java. Candidates will have the opportunity to work with cutting-edge technologies and enjoy flexible working hours. The ideal candidate will contribute to optimizing algorithms for millions of users and is encouraged to publish their results.

Qualifications

• Expertise in designing and implementing complex IT systems.
• Proficiency in at least one programming language and Linux expertise.
• Strong skills in evaluating and optimizing system performance.
• 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.

Responsibilities

• Develop and maintain the ML training platform and bidding infrastructure.
• Identify performance bottlenecks and optimize system components.
• Ensure reliability, scalability, and create tests for system components.
• Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.

Skills

Complex IT systems design

User-friendly tools development

Programming languages

System performance optimization

Algorithms understanding

Team collaboration

Tools

Python

C++

Java

Scala

Linux

GPU programming

Machine Learning frameworks

Job description

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-endDeep Learning-powered AdTech 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, PyTorch, or TensorFlow.
• 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.