Machine Learning Engineer
HybridBarcelona, Catalonia, Spain
Job Summary
Maximize advertiser return on ad spend by selecting optimal bids for 4 million opportunities per second. Solve Real Time Bidding challenges through predictive modeling of user response and auction prices, addressing hurdles like sample sparsity and labeling delay. Execute end-to-end full-stack ML solutions at web scale, from research and design to deployment. Analyze data rigorously using AB tests to ensure growth is built on signal, not noise. Contribute ideas to influence the product roadmap. Work from home two days per week with a great compensation package. Join a highly motivated team in Barcelona's heart, featuring a rooftop terrace and fully stocked fridge.
Required Qualifications
- A proactive, autonomous, and results-oriented approach to problem-solving.
- Analytical mind with high attention to detail and the ability to manage multiple priorities.
- Strong foundation in statistical concepts and techniques: regression, properties of distributions, statistical significance tests, etc.
- Experience in machine learning and predictive modelling: neural networks, logistic regressions, gradient boosted trees and time series analysis.
- Good programming skills and familiarity with python and its libraries (pytorch, pandas, numpy, etc.).
- Competence in data analysis with SQL and pandas.
- Familiarity with Git.
- Excellent communication skills both verbal and written in English.
- Master's degree in Machine Learning, AI, Statistics, Mathematics or Computer Science.
- Experience building high-performance algorithms in production environments.
- Competence with Apache Spark as well as Java or Scala programming languages.
- Familiarity with transformer architectures and LLMs.
- Experience in digital marketing platforms and user acquisition.
- Understanding of AWS services such as SageMaker, EMR, EC2, Athena and S3.
- Candidates without a legal permit to work in Spain won't be considered.
Desired Qualifications
- Extra points for :-)
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