
Senior Technical Researcher/Engineer @
2 weeks ago
Desired Experience:
- 5+ years of experience as researcher or engineer.
- Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
- Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
- Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
- Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
- Collaboration & communication: ability to work effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
- Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
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.
Selected Technologies:
- Python, Java, Scala, TypeScript/JavaScript
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
- BigQuery, GCP
- Browser Engines
What we offer:
- Compensation: an attractive salary and career growth opportunities.
- Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; working on extensive and rich datasets.
- Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentor less experienced colleagues in the team.
- Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely.
- Culture: work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment.
- Purpose-Driven Work: being at heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results.
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