Machine Learning Engineer II

Job Location:

Dublin - Ireland

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Were looking for a machine learning engineer II in our Growth Platform engineering group. Youll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth and to improve their user experience.

What youll do:

Develop and implement ML models to improve user targeting and personalization for growth initiatives
Design and build scalable ML pipelines for data processing model training and deployment
Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
Contribute to the development of our ML infrastructure ensuring it can support rapid experimentation and deployment
Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
Participate in code reviews and collaborate with team members as needed

What were looking for:

3 years of experience applying ML to real-world problems preferably in a growth or user acquisition context
Excellent communication skills and ability to work effectively in cross-functional teams
Strong problem-solving skills and ability to translate business requirements into technical solutions
Strong programming skills in Python and experience with PyTorch
Proficiency in data processing and analysis using tools like SQL Spark or Hadoop
Experience with recommendation systems user modeling or personalization algorithms
Familiarity with statistical analysis
Bachelors/Masters degree in a relevant field or equivalent experience.
Nice to have:
- Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
- Proficiency in data visualization techniques
- Experience with cloud platforms (e.g. AWS) and containerization technologies (e.g. Docker Kubernetes)
- Contributions to open-source ML projects or research publications

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

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Required Experience: