Machine Learning Engineer
Kargo
About the role
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)
Responsibilities
- Develop 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 using testing and validation results
- Ensure deployed models are scalable, reliable, and performant
- Collaborate with teams to translate business needs into data-driven solutions
- Prepare and present analytical findings
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field and 5 years of experience in data science, data analysis, or predictive modeling; alternatively, a master’s degree and 2 years of relevant experience
- Experience with Python and SQL
- Experience in statistical modeling and predictive analytics
- Experience analyzing large datasets
- Experience with data visualization tools
Benefits
- Eligible for variable compensation, including an annual discretionary bonus for non-sales roles
Skills mentioned
About Kargo
For logistics to meet demand, the world needs infrastructure that doesn’t exist yet. Kargo is building that infrastructure. Our work advances the farthest edge of logistics technology, aligning freight and data in real time. With Kargo’s machine vision system, you can optimize shipping and receiving at every loading dock for network effects across supply chains. 👀 VERIFY SHIPMENT ACCURACY WITH COMPUTER VISION As freight is loaded and unloaded, Kargo Towers capture the action, translating any label or mark into data you can use on the Kargo Platform and your own ERP, WMS, TMS, and YMS. Towers flag discrepancies right at the loading dock so you can stop exceptions in their tracks. Images and videos give context to any shipment. 🚀 AUTOMATE SHIPPING AND RECEIVING Extend your capabilities with automated data capture at every step: - Eliminate hand-scanning - Sync with partners - Simplify check-in and out - Access data instantly Kargo sees and validates multiple freight attributes as forklifts load and unload trucks. Integrations let you connect shipping and receiving end to end. 📈 UNLOCK NETWORK EFFECTS As Kargo Towers capture data across facilities, you can surface trends and gain insights into operations and partnerships. Embrace continuous improvements and discover how Kargo helps build accuracy and efficiency across logistics. For more, visit mykargo.com