Principal Machine Learning Engineer

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.

Role: Principal Machine Learning Engineer (MLE), Ads Marketplace

About the Team:

The Ads Marketplace team at Cardlytics comprises a dynamic group of scientists and engineers dedicated to rethinking and redefining ad delivery and optimization at scale. Our work directly impacts millions of customers daily, driving innovation and effectiveness in how advertising reaches its audience.

About the Position:

As a Machine Learning Engineer in the Ads Marketplace team you will collaborate with data scientists to tackle complex machine learning problems in digital advertising. You will focus on developing and deploying models that enhance ad targeting, optimize bid strategies, and improve overall campaign performance. The ideal candidate will have a strong foundation in machine learning techniques and a proven ability to apply these skills practically to solve real-world problems.

Responsibilities:

• Partner with data scientists to design, build and deploy machine learning models that solve a diverse set of advertising challenges, such as predictive analytics for user behavior, ad ranking, and personalization.

• Implement and maintain scalable machine learning systems in production environments.

• Optimize data pipelines and machine learning workflows using tools like Apache Airflow and MLFlow.

• Conduct A/B testing and other performance evaluations to ensure models are effective and efficient.

• Provide technical leadership and insights to improve our algorithms and methodologies continually.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related technical field.

• 3+ years of relevant experience as a Machine Learning Engineer, with specific experience in advertising technology.

• Proficient in programming languages such as Python or Java and familiar with ML libraries (e.g., TensorFlow, PyTorch).

• Experience with large-scale data processing tools (e.g., Hadoop, Spark) and data workflow management tools (e.g., Airflow).

• Demonstrated ability to work collaboratively in cross-functional teams and communicate complex technical ideas effectively.

Preferred Qualifications:

• Demonstrated expertise in predictive modeling techniques and their application to digital advertising problems.

• Experience building Learning to Rank (LTR) models.

• Experience with real-time systems and large-scale data processing technologies like Spark, Hadoop, or Kafka.

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:

$200,000 - $255,000

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!)

• Complementary 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.