Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our dynamic teams work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a Creative Science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Kargo is growing rapidly and currently has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.

Who We Hire

Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.

Kargo Global LLC seeks a Machine Learning Engineer in New York, NY to:

● Develop and implement machine learning and statistical models to analyze large
datasets and generate predictive insights;
● Analyze data to identify trends and support business decision-making;
● Build and maintain data pipelines for structured and unstructured data;
● Apply statistical and data modeling techniques to improve model performance;
● Evaluate and refine models based on testing and validation results;
● Ensure scalability, reliability and performance of deployed models;
● Collaborate with teams to translate business needs into data-driven solutions;
● Prepare and present analytical findings.

Requirements:

The employer will accept a Bachelor’s degree (or foreign equivalent) in Computer
Science, Computer Engineering, or related field and five (5) years of experience in data
science, data analysis, or predictive modeling.
Alternatively, the employer will accept a Master’s degree (or foreign equivalent) in
Computer Science, Computer Engineering, or related field and two (2) years of
experience in data science, data analysis, or predictive modeling.

Position requires experience in the following:

● Experience with Python and SQL;
● Statistical modeling and predictive analytics;
● Analyzing large datasets;
● Data visualization tools

Salary Range: $172,994 - $192,994/year

How to apply/Contact information: To apply, please visit https://www.kargo.com/careers,
locate job title referenced above and click “apply.”

In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible for variable compensation — either the Kargo Sales Incentive Plan (sales roles) or an annual discretionary bonus (all other roles). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills.

U.S Salary Range

$172,994

—

$192,994 USD

What We're Proud Of

• AdAge Best Places to Work
• ThinkLA Partner of the Year
• Built In Best Places to Work
• Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
• Martech Breakthrough Awards - Best Overall Adtech Company
• Digiday Media Awards Best Event
• Cynopsis Media Impact Awards-Best CTV Platform
• Martech Breakthrough Awards-CTV Innovation
• Adweek Media Plan of the Year Awards - Best Use of Insights

Following Our Lead

• Big Picture: kargo.com
• The Latest: Instagram (@kargo.hq) and LinkedIn (Kargo)