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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.
About the Team
The Commerce Graph team is a diverse group of software engineers and data scientists at the heart of Cardlytics' business. We are responsible for developing and organizing Cardlytics' commerce graph, matching and annotating transactions from financial institutions, and generating insights about brands, stores and their consumers. We enable core product features such as card linking or offer redemption, while providing invaluable purchase intelligence for advertising and e-commerce.
About the Position
We are looking for a skilled Senior Software/ML Engineer to help us further improve our commerce graph and transaction annotation technologies, and develop new ML-driven product features.
Reporting to the Director of Commerce AI, you will work alongside other software engineers and data scientists. Leveraging state-of-the-art technologies and relevant data, you will enhance our large-scale data consolidation technologies, improve our commerce graph construction and serving platforms, scale and refine our transaction understanding technologies, and develop new solutions to derive richer insights about brands, stores and consumers.
Ultimately you will improve our current products and technologies, and enable entirely new product features.
Responsibilities
As a Senior Software/ML Engineer in the Commerce Graph team, you will:
Lead the design and development of robust and scalable data processing systems to support our commerce graph construction and transaction annotation efforts.
Work closely with data scientists to develop, optimize and deploy new solutions based on state-of-the-art Search and/or Machine Learning technologies to solve problems related to large-scale commerce graph construction and transaction annotation.
Collaborate with product managers and other teams to understand their needs and deliver solutions that match their needs and business objectives.
Analyze data to extract meaningful insights to develop relevant algorithms.
Stay abreast of advancements in technology and leverage new technologies when necessary.
Enforce software engineering standards and best practices in coding, testing and documentation to maintain high-quality, maintainable code.
Minimum Qualifications
MS degree in Computer Science or related field, and exposure to machine learning and data science
4+ years of experience as a Software Engineer or equivalent
Hands-on experience with
Designing, developing and maintaining large-scale data processing systems
Python and Scala, and more generally object-oriented and functional programming languages
Spark and Airflow, or similar data processing and workflow orchestration technologies
Amazon Web Services (AWS)
Ability to:
think analytically and abstractly
thrive in a dynamic, fast-paced environment
communicate effectively in English, both verbally and in writing
Preferred Qualifications
Prior experience in the FinTech domain
Experience developing, deploying and maintaining machine learning or data science systems
Experience with Databricks for both large-scale data processing and machine learning
Experience with knowledge graph, search, or natural language processing technologies
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
Compensation
At Cardlytics salary ranges are determined based on factors such as role, level, and location. Individual compensation may be determined by relevant skills, experience, education, training, and other role-specific criteria. This salary range will be narrowed during the interview process based on a number of the aforementioned factors.The base salary range provided below does not include bonuses and additional benefits.
The annual US base salary range for this role is:
Range $170,000 - $220,000
Benefits and Perks
Flexible paid time off plus company holidays
Medical, dental, and vision insurance begins on your first day
401(k) retirement plan with company match, plan also includes a student loan debt repayment option
Employee Stock Purchase Plan
Educational assistance for continuing education
Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more!)
Complimentary Calm app subscriptions to support employee mental health and wellbeing
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 recruiting@cardlytics.com or inform your recruiter.
