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Senior Software Engineer

Role overview

Qualifications

  • Expertise in designing and implementing complex IT systems.
  • Proficiency in at least one programming language (Python, C++, Java, or Scala) with Linux proficiency.
  • Strong skills in evaluating and optimizing system performance from design through production troubleshooting; deep understanding of algorithms and data structures.
  • Initiative and creativity to improve existing solutions, and ability to cooperate effectively within and across teams.

Responsibilities

  • Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in production.
  • 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.

About the company

RTB-House logo

RTB-House

AdTech & Programmatic Advertising

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, the RTB House team comprises 1500+ specialists in over 30 locations around the globe. It serves more than 3,000 campaigns for clients across the EMEA, APAC, and Americas regions. After successfully deploying Deep Learning into 100 percent of its algorithms in 2018, RTB House has continued its research in the field of AI. The AI Marketing Lab and Creative Lab were set up as new divisions of the company focused on inventing and advancing MarTech products. The company’s AI-based product offering includes retargeting solutions and branding campaigns with ultra-effective Video Ads. To get the latest MarTech industry insight, including updates on the cookieless future, ideas for winning ad campaigns, and the great leaps in AI technology, sign up to get a bi-weekly dispatch from the world of online advertising: https://www.rtbhouse.com/newsletter

Company details

Company typeScaleup
IndustryAdTech & Programmatic Advertising
Company size1001 - 5000

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Job description

 

Location: Poland

 

We Are:

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. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

 

You Will: 

We're looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. You’ll cooperate on software that handles billions of daily transactions with strict latency and reliability constraints - all in a distributed, low-latency environment.

 

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 cooperate 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.

 

In Return, We Offer:

  • A highly competitive salary.
  • The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
  • You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
  • 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 cooperate on the company's business outcomes.
  • The possibility of publishing your results.
  • Cooperation based on B2B contract.

 

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.

 

 

Apply now!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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