Senior Full Stack Machine Learning Engineer AdTech Infrastructure
Senior Full Stack Machine Learning Engineer AdTech Infrastructure
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Job Description
This is a remote position.
Responsibilities:
Write and maintain frontend and backend JavaScript code for a mobile-first web application using company coding guidelines.
Design and develop advertising technology infrastructure including real-time bidding dynamic pricing and pixel tracking.
Manage integrations with third-party vendors such as Ads Manager APIs and Marketing APIs.
Make architectural and refactoring decisions to balance delivery speed with technical quality.
Lead testing for complex frontend and backend product features.
Participate in agile development cycles providing accurate time estimates and tracking progress in Jira.
Collaborate closely with engineering peers product managers and UI/UX designers to implement lean product features.
Requirements
- 5 years of hands-on full stack engineering experience in a production environment ideally within AdTech data science or video platforms.
- Strong proficiency in React MongoDB PostgreSQL Heroku AWS and HTML5/CSS3.
- Ability to debug and solve issues quickly across the stack.
- Commitment to clean standardized coding practices and low technical debt.
- Experience working with testing peer code reviews and scalable architecture.
- Strong collaboration and communication skills especially across engineering and executive teams.
- Cultural alignment with a startup that values teamwork self-awareness and continuous improvement.
Benefits
- Work Location: Remote
- 5 days working
5+ years of hands-on full stack engineering experience in a production environment, ideally within AdTech, data science, or video platforms. Strong proficiency in , React, , MongoDB, PostgreSQL, Heroku, AWS, and HTML5/CSS3. Ability to debug and solve issues quickly across the stack. Commitment to clean, standardized coding practices and low technical debt. Experience working with testing, peer code reviews, and scalable architecture. Strong collaboration and communication skills especially across engineering and executive teams. Cultural alignment with a startup that values teamwork, self-awareness, and continuous improvement.
Employment Type
Full Time
