Posted:
8/21/2024, 3:55:10 AM
Location(s):
New York, New York, United States ⋅ New York, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Everyday, our 600+ employees bring the power of their creativity and diversity to radically raising the bar on what mobile, CTV, AI, social, and eCommerce can do to wow consumers and build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, Austin, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2024, Kargo was recognized as a Best Place to Work by Ad Age and Built In.
Who We Hire
Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment.
Title: Machine Learning Engineer
Job Type: Permanent
Job Location: New York
Salary Range: $160,000 - $180,000
The Opportunity:
The Team: The Data Science team at Kargo researches, develops, deploys and maintains ML and optimization models to deliver solutions integral to the business’ revenue goals. We work in close collaboration with Engineering, Product Management and business teams to develop solutions to optimize auction dynamics (bid pricing, pacing, etc), predict advertising outcomes (CTR, viewability, etc), and recommend advertising content (audience targeting and contextual matching recommendations).
The Role: The Machine Learning (ML) Engineer will play a crucial role in designing, developing, deploying, and maintaining machine learning models. This individual will work closely with cross-functional teams to ensure the seamless integration of ML solutions into our advertising technology platform. The position requires strong hands-on experience, technical skills, and a deep understanding of machine learning principles and best practices.
The Daily To-Do:
Design, develop, and deploy machine learning models to address various business needs.
Implement robust processes and infrastructure for model versioning and CI/CD for ML models.
Ensure scalability, reliability, and performance of deployed models.
Work closely with Data Science, Engineering, and Product teams to understand business requirements and translate them into end to end ML solutions.
Collaborate with stakeholders to ensure successful integration of machine learning solutions into the AdTech platform.
Establish and maintain monitoring and alerting systems to ensure the health and performance of deployed models.
Implement optimization strategies to enhance model efficiency and accuracy over time.
Design, implement, and manage ML infrastructure and deployment pipelines.
Work with Big Data platforms (AWS Stack (EMR, EC2, Sagemaker), Snowflake, Databricks preferred) and cloud technologies to support ML workflows.
Stay abreast of industry trends and emerging technologies.
Participate in code reviews, knowledge sharing, and continuous improvement initiatives.
Qualifications :
Follow Our Lead
Website: https://kargo.com/
Headquarter Location: New York, New York, United States
Employee Count: 101-250
Year Founded: 2003
IPO Status: Private
Industries: Advertising ⋅ Marketing ⋅ Mobile Advertising ⋅ Native Advertising