Senior Ml Engineer - Scale Deep Learning For Ad Tech

Smadex SLU
Madrid, Spain
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Neural Networks Computer Programming Python (Programming Language) Machine Learning Deep Learning

Job description

Smadex SLU, a Barcelona-based advertising technology company, seeks a Senior Machine Learning/Staff Engineer to drive architecture and develop novel ML features across our platform.You will own end-to-end ML pipelines, influence production-grade algorithms, and work closely with data and engineering teams in a fast-paced environment.The role requires 5+ years in data science, strong programming skills in Python/Scala/Java, and experience with deep neural networks, time series, and predictive#J-*****-Ljbffr

Requirements

The role requires 5+ years in data science, strong programming skills in Python/Scala/Java, and experience with deep neural networks, time series, and predictive #J-*****-Ljbffr

About the company

Smadex SLU, a Barcelona-based advertising technology company, seeks a Senior Machine Learning/Staff Engineer to drive architecture and develop novel ML features across our platform.

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Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:31 min

Revolutionizing computer programming through natural language code generation

Demetris Cheatham Demetris Cheatham +1 · World Congress 2024

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

3:51 min

Overcoming hardware configuration barriers in machine learning

Jose Luis Latorre Millas · LIVE

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

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