Senior and Staff Machine Learning Engineer - Remote

Overview

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday.

In Short

• Join the data science team at StackAdapt as a Senior or Staff Machine Learning Engineer.
• Work on solving complex problems for a digital advertising platform.
• Collaborate with Data Scientists, Machine Learning engineers, Engineering teams, and the CTO/Co-Founder.
• Build pipelines and ad optimization models.
• Handle databases that process millions of requests per second.
• Remote-first company open to candidates in North America.
• Be part of a hub of innovation, imagination, and creativity.
• Opportunity to work with cutting-edge technology in advertising.
• Engage in a culture that values collaboration and creativity.
• Learn more about the Data Science Team and company culture.

Requirements

• Experience in Machine Learning and Data Science.
• Strong programming skills, preferably in Python or similar languages.
• Ability to work with large datasets and complex algorithms.
• Experience in building and optimizing data pipelines.
• Familiarity with advertising technologies is a plus.
• Strong problem-solving skills and analytical thinking.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment.
• Experience in a remote work setting is beneficial.
• Passion for innovation and creativity in technology.

Benefits

• Flexible work hours and remote work options.
• Opportunity to work with a talented and innovative team.
• Access to cutting-edge technology and tools.
• Professional development opportunities.
• Collaborative and inclusive company culture.
• Health and wellness benefits.
• Competitive salary and compensation package.
• Work on impactful projects in the advertising industry.
• Engagement in team-building activities.
• Support for work-life balance.