TL;DR
Machine Learning Engineer II (Marketing Testing): Enhancing the production experimentation platform and building flexible measurement tools for data-informed marketing decisions, with an accent on large-scale testing and reliable operation. Focus on translating prototypes into production-ready solutions, creating reusable code libraries, and collaborating with data scientists and software engineers.
Location: London, United Kingdom
Company
hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech and creating groundbreaking solutions for partners.
What you will do
- Support software engineering teams to maintain platform performance and troubleshoot issues.
- Optimize core testing code, including stratified sampling, simulation, and regression frameworks.
- Build scalable data pipelines for experiment execution and analysis.
- Create reusable code libraries and transform research prototypes into production-ready solutions.
- Collaborate with data scientists and software engineers to translate requirements and coordinate deployment of tools.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Proficient in Python, SQL, and PySpark for large-scale data processing.
- Experience building scalable systems, preferably with ML/AI components in production environments.
- Experience with automated testing and deployment practices, including version control and unit testing.
- Understanding of system internals, including memory management and distributed computing.
- Experience turning prototypes into production code and building flexible, reusable code frameworks.
- Foundational knowledge in machine learning principles and statistical methods.
Nice to have
- Familiarity with cloud platforms (AWS, GCP).
- Familiarity with open-source development practices and creating modular, adaptable tools.
- Knowledge of A/B testing methodologies and experimental design principles.
Culture & Benefits
- Full benefits package, including travel perks, generous time off, and parental leave.
- Flexible work model with cool offices.
- Career development resources to fuel your passion for travel.
- Named as a Best Place to Work on Glassdoor in 2024.
- Recognized for award-winning culture by organizations like Forbes and TIME.
- Committed to creating an inclusive work environment with a diverse workforce.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →