RTB House

Staff Machine Learning Researcher

320 - 500 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#410875·Dodano dwa miesiące temu·0

Źródło: justjoin.it

⚠️Uwaga: ta oferta może już nie być aktualna. Sprawdź na stronie pracodawcy, czy rekrutacja jest nadal otwarta.

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Tech Stack / Keywords

Python

Podsumowanie oferty

As a Staff Machine Learning Researcher at RTB House, you will lead research projects with company-wide scope, focusing on designing and implementing models such as deep neural networks to predict Internet user behavior and preferences. You will work on applied ML systems in production, conducting experiments and driving impactful solutions in the AdTech domain. The role emphasizes end-to-end project ownership, leadership, and collaboration with multiple stakeholders.

Wymagania

5+ years of experience as researcher or engineer.
2+ years of hands-on experience with Machine Learning / Data Science.
Proficiency in programming.
Sound mathematical knowledge and intuitions.

Nice to have:

Strong theoretical mathematics framework including statistics, probability, discrete mathematics, combinatorics.
Experience in AdTech.

Obowiązki

Identify, define, and drive research projects with company-wide scope impacting core metrics.
Design and implement models, primarily deep neural networks.
Develop and test novel approaches to problems such as bidding in first-price auctions.
Conduct and analyze A/B tests of new solutions.
Follow and translate latest Machine Learning research into practical improvements.
Mentor researchers and shape research practices across teams.

Benefity

Attractive compensation.
Access to latest technologies and opportunity to work with large-scale, dynamic projects using extensive datasets.
Immediate impact on company business results and mentoring opportunities.
Flexible working hours with remote and on-site work options.
Collaborative team environment with knowledge sharing.
Purpose-driven work with practical applications linked to business outcomes.

Elastyczne godziny

Inne informacje

Administratorem danych zbieranych po kliknięciu "apply" jest RTB House. Więcej informacji o przetwarzaniu danych jest dostępne pod linkiem: https://www.rtbhouse.com/privacy-center

RTB House

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