FREENOW
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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ADadjoe
Senior Machine Learning Engineer(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and scaling low-latency recommendation systems for millions of users. Deep learning expertise for relevance models and bidding strategies required. 30 vacation days, 3 weeks remote work annually.
Requirements
- 5+ years experience developing/deploying recommendation systems
- Deep learning expertise for recommendation tasks
- Software engineer mindset
- Understanding of data engineering principles
- Experience with large-scale distributed data processing systems
- Experience with data storage solutions
Tasks
- Architect and deploy a high-throughput, low-latency recommendation system
- Scale recommendation systems to millions of users and billions of daily requests
- Identify relevant signals from large datasets to improve model performance
- Develop and refine relevance models
- Develop and refine bidding strategies using advanced machine learning
- Own the end-to-end lifecycle of production machine learning models
- Monitor production machine learning models rigorously
- Analyze production machine learning model performance in-depth
- Iteratively improve models based on data
- Collaborate with backend engineering teams
- Design robust, scalable machine learning solutions
- Implement production-ready machine learning solutions
- Ensure seamless integration of reusable models and assets
- Industrialize reusable models and assets
- Conduct rigorous A/B testing and experimentation
- Validate hypotheses
- Measure the impact of new features on key business metrics
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- Jax
- Spark
- Flink
- Kafka
- AWS Athena
- S3
- MySQL
Benefits
More Vacation Days
- 30 vacation days
Flexible Working
- 3 weeks remote work per year
Healthcare & Fitness
- Free in-house gym access
Mental Health Support
- Employee Assistance Program
Modern Office
- Alster lake view office
- Fun open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Snacks and drinks
Team Events
- Regular team events
- Company events
- Hackathons
- Social gatherings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of adjoe and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ADadjoe
Senior Machine Learning Engineer(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and scaling low-latency recommendation systems for millions of users. Deep learning expertise for relevance models and bidding strategies required. 30 vacation days, 3 weeks remote work annually.
Requirements
- 5+ years experience developing/deploying recommendation systems
- Deep learning expertise for recommendation tasks
- Software engineer mindset
- Understanding of data engineering principles
- Experience with large-scale distributed data processing systems
- Experience with data storage solutions
Tasks
- Architect and deploy a high-throughput, low-latency recommendation system
- Scale recommendation systems to millions of users and billions of daily requests
- Identify relevant signals from large datasets to improve model performance
- Develop and refine relevance models
- Develop and refine bidding strategies using advanced machine learning
- Own the end-to-end lifecycle of production machine learning models
- Monitor production machine learning models rigorously
- Analyze production machine learning model performance in-depth
- Iteratively improve models based on data
- Collaborate with backend engineering teams
- Design robust, scalable machine learning solutions
- Implement production-ready machine learning solutions
- Ensure seamless integration of reusable models and assets
- Industrialize reusable models and assets
- Conduct rigorous A/B testing and experimentation
- Validate hypotheses
- Measure the impact of new features on key business metrics
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- TensorFlow
- PyTorch
- Jax
- Spark
- Flink
- Kafka
- AWS Athena
- S3
- MySQL
Benefits
More Vacation Days
- 30 vacation days
Flexible Working
- 3 weeks remote work per year
Healthcare & Fitness
- Free in-house gym access
Mental Health Support
- Employee Assistance Program
Modern Office
- Alster lake view office
- Fun open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Snacks and drinks
Team Events
- Regular team events
- Company events
- Hackathons
- Social gatherings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of adjoe and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
adjoe
Industry
Marketing
Description
The company is a leading mobile ad platform developing cutting-edge advertising and monetization solutions for app partners.
Not a perfect match?
- FREENOW
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - FELD M
Machine Learning Engineer / Data Scientist(m/w/x)
Full-time/Part-timeRemoteExperiencedMünchen, Berlin, Hamburg - q.beyond AG
Senior Engineer AI / Machine Learning R&D(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - Auvaria
Senior Cloud Consultant - Data & AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWien, Hamburg - E.ON Digital Technology GmbH
(Senior) Data Engineer Data & AI(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorEssen, Hannover, München, Berlin, Hamburg, Frankfurt am Main