Senior Software Engineer, Machine Learning

External

Cardlytics · Taipei City

Full-timeHybrid5d ago

AWSFeature EngineeringGenerative AIJavaMachine LearningPrompt Engineering

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About the role

Cardlytics is establishing an engineering hub in Taiwan, and building a productive and innovative engineering team there. This engineering team will be an integral part of the Cardlytics engineering organization. The team will be responsible for the successful software delivery of key products and services, and contribute to the advancement of Cardlytics' platform and product suite. Cardlytics is seeking a Senior Machine learning Engineer to report to the Manager of Engineering in Taiwan. In this role, you will be responsible for developing and enhancing scalable, high-performance, and robust software features that power our innovative platform and product suite. You will collaborate with global engineering teams, scientists, and peers to design and enhance our data-driven platform, ensure the scalability and robustness of our machine learning models, and support the company's business objectives. This role offers an exciting opportunity to shape the success of our engineering team in Taiwan while directly impacting the growth of Cardlytics' platform and product offerings.

Requirements

Master's degree in Computer Science, Data Science, Mathematics or related field

5+ years of experience in the machine learning field, with a proven track record of delivering machine learning solutions in a production environment

Proficiency in machine learned algorithms, statistical modeling, data preprocessing, and metrics evaluation

Proficiency in at least one programming language such as Python, Java, or Scala

Great communication and collaboration skills in English

Ability to work independently as well as in a team environment

Practical experience in applying machine learning to ranking, recommendation, or predicting clicks and conversions

Practical experience with AWS ecosystems (such as SageMaker, EMR, Bedrock) or Databricks for building machine learning applications.

Knowledge of programmatic advertising, ad serving platforms, and auction-based systems for targeted advertising

Knowledge of Infrastructure as Code (IaC) tools. Preferably Terraform.

Experience leveraging Generative AI technologies, such as LLM, Prompt engineering, RAG, and Agentic workflow

Technical Environment

We primarily use macOS and Google Workspace (Docs, Sheets, Slides). While our preferred platform is macOS, we support both macOS and Windows. Familiarity with or willingness to work within this environment is required.

Core Values

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

Customer and partner first

Act with urgency and focus

Integrity with our partners and data

Accountability even when challenged

Empowerment over hierarchy

Growth over comfort

Benefits and Perks

Generous annual leave starting at 15 days, plus comprehensive sick, compassionate, and parental leave options

Rich supplemental health insurance, paid 100% by the company

Robust peer recognition program

Quarterly company-wide achievement celebrations and CEO recognition awards

Free Calm app subscription to support mental wellbeing

Premium in-office amenities, including complimentary lunches and monthly milestone celebrations

Senior Software Engineer, Machine Learning

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