About Cardlytics
Founded in 2008, Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We make commerce smarter and more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through our partners' digital reward programs. Join us on our mission to make commerce smarter and more rewarding for everyone!
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 [email protected] or inform your recruiter.
Skills Required
- Master's degree in Computer Science, Data Science or related field
- 5+ years of experience in machine learning
- Proficiency in machine learning algorithms and statistical modeling
- Proficiency in at least one programming language such as Python, Java, or Scala
- Great communication and collaboration skills in English
- Ability to work independently and in a team environment
What We Do
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. Remember that time you got cash back on a cup of coffee through your banking app? That was us! Cardlytics is headquartered in Atlanta and has offices in New York City, Los Angeles, Menlo Park, Champaign, and London.
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