Senior Software Engineer, Machine Learning

About Cardlytics

Remember that time you got cash back on a cup of coffee through your banking app? That was us

Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks' digital channels.

Senior Software Engineer, Machine Learning

Location:
Taipei office (Hybrid 2-3 days per week)

About The Team

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.

About The Position

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

Responsibilities:

• Design and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, and model training
• Drive innovation by researching and applying state-of-the-art ML techniques to vast datasets, directly contributing to product strategy and business growth
• Collaborating with cross-functional teams, including product managers, data scientists, and engineers to improve product offerings and enhance customer experiences through data-driven insights
• Analyzing large and complex datasets to deliver solutions for challenging, non-routine problems
• Writing clean, efficient, and maintainable code to ensure software quality
• Participating in code reviews to ensure code quality and consistency

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

As an equal opportunity employer, Cardlytics is committed to diversity, equity, and inclusion. Our people bring our products and organization to life, and every unique perspective makes us better. If you can do the job and you're excited about growing with us as we scale our best-in-class advertising platform, we'd love to hear from you. If you need accommodation in the recruiting process due to a disability, please email or inform your recruiter.