Tech Lead Senior Machine Learning Engineer - Branding Ads

ZipRecruiter; San Jose (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading technology company is seeking an experienced engineer to develop innovative monetization products. This role involves building high-performance ad systems, utilizing cutting-edge machine learning and NLP technologies. The ideal candidate will have a strong background in programming and data systems, contributing to meaningful projects that enhance user engagement and drive revenue.

Qualifications

• 7+ years of relevant work experience required.
• Strong programming expertise and problem-solving skills mandatory.
• Experience with machine learning, data systems, and ad technologies desired.

Responsibilities

• Build innovative ad products that drive revenue.
• Develop and optimize large-scale ad systems.
• Contribute to machine learning and algorithm development.

Skills

Problem Solving

Machine Learning

Data Analysis

Programming

NLP

Computer Vision

Education

BS in Computer Science

Tools

Go

C/C++

Python

Job description

Job DescriptionJob Description

We’re looking for an experienced engineer to help build innovative monetization products that drive both user engagement and revenue across our platforms. As part of our dynamic team, you'll play a key role in developing and optimizing large-scale ad systems, leveraging cutting-edge machine learning, natural processing (NLP), and computer vision (CV) technologies to enhance content understanding, ad targeting, and taxonomy.

In this fast-paced, rapidly growing environment, your contributions will have a direct impact on the evolution of our ad products, helping shape the future of digital advertising with speed, precision, and quality.

What You'll Do:

• Build Monetization Products: Design and implement innovative ad products that drive revenue and enhance user engagement across platforms.
• Develop Large-Scale Ad Systems: Work on the architecture and development of high-performance, scalable ad systems that power millions of transactions daily.
• Machine Learning & Algorithm Development: Contribute to the iteration of ad algorithms, applying machine learning techniques to improve ad targeting, relevance, and performance.
• NLP & CV Technologies: Use natural processing and computer vision to improve content understanding, develop semantic taxonomy, and enhance ad relevance through advanced techniques like text analysis, image recognition, and automated content classification.
• Support Organizational Growth: Help accelerate the success of a rapidly growing organization by contributing high-quality code and delivering projects with speed and precision.

Qualifications:

• Educational Background: BS in Computer Science, Computer Engineering, or a related field, with 7+ years of relevant work experience.
• Programming Expertise: Strong programming, debugging, and optimization skills in one or more of the following languages: Go, C/C++, Python.
• Problem Solving & Critical Thinking: Ability to break down complex problems and formulate effective, clear solutions.
• Experience with Machine Learning & Data Systems: Proven experience with machine learning, data mining, data analysis, and distributed systems.
• Ad Systems Knowledge: Solid understanding of key ad-related domains, including brand ads, content ads, auction systems, bidding algorithms, ranking, and ad forecasting.
• Specialized Skills: Experience with machine learning, deep learning, NLP, ranking systems, recommendation algorithms, large-scale systems, or data science.
• Product Sense: Strong product intuition with experience designing and implementing features that solve real-world user problems.

Why You Should Apply:

• Impact: Your work will have a direct impact on the growth of our ad systems and monetization efforts.
• Innovation: Be part of an innovative team pushing the boundaries of machine learning, NLP, and computer vision in digital advertising.
• Collaboration: Work alongside talented engineers, data scientists, and product managers in a fast-paced, cross-functional environment.
• Career Growth: Join a rapidly evolving organization where you can make a difference while growing professionally.