Brand Ads Machine Learning Engineer Job at Hireio, Inc., San Jose, CA

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  • Hireio, Inc.
  • San Jose, CA

Job Description

*Company Overview**

We are a  Tier 1 social media company, building the next generation of advertising technology that empowers brands to engage with their audience in new, innovative ways. Our Brand Ads team develops cutting-edge products that optimize ad spend, drive brand awareness, and foster meaningful consumer relationships. By combining advanced machine learning with immersive content experiences, we help brands grow and succeed in a rapidly evolving digital landscape. Join us and be part of a global team shaping the future of digital advertising!

*Job Description**

We are seeking a Senior Machine Learning Engineer to join our dynamic Brand Ads team. In this role, you’ll have the opportunity to shape the future of monetization on TikTok by developing cutting-edge machine learning models that drive brand awareness, engagement, and revenue. You will work on a variety of high-impact projects related to ads forecasting, bidding algorithms, content understanding, and more.

* Key Responsibilities **

  • Lead the development of advanced forecasting models that enable advertisers to optimize ad spend and maximize ROI.
  • Build innovative monetization products that enhance user engagement and boost revenue generation for brands.
  • Work on scalable, high-performance ads systems , focusing on ads bidding, ranking, and content delivery.
  • Collaborate on building ML-powered algorithms for ad personalization, recommendation systems, and ranking mechanisms.
  • Leverage NLP and Computer Vision (CV) technologies to enhance content understanding and improve ad targeting.
  • Contribute to the continuous evolution of TikTok’s ad tech stack , driving system reliability, scalability, and performance in a globally distributed environment.
  • Partner closely with global engineering and product teams to drive impactful solutions at scale.

* Qualifications & Skills**

You are an experienced Machine Learning Engineer with a passion for solving complex problems and making a tangible impact. You have expertise in designing and optimizing large-scale systems and are eager to work in a fast-paced environment where every project presents new challenges and opportunities.

Minimum Qualifications:

  • Strong proficiency in programming languages like Go, C/C++, Python (or other general-purpose languages).
  • Proven ability to solve problems in a structured and efficient manner, with a critical thinking approach to system design.
  • Experience with ads technologies (brand ads, auction systems, bidding, ranking, and forecasting) or similar domains.
  • Hands-on experience with Machine Learning , including but not limited to forecasting , Deep Learning , NLP , ranking systems , or recommendation systems .
  • Background in working with large-scale systems , data science, or backend engineering.
  • A proven track record of contributing to and maintaining high-availability, high-performance systems.

Preferred Qualifications:

  • BS/MS in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience.
  • Extensive experience with machine learning frameworks and techniques, including data mining , deep learning , and data analysis .
  • Strong sense of product design , with experience translating business needs into technical solutions and implementing successful features.
  • Familiarity with cloud technologies (AWS, GCP, etc.) and distributed systems is a plus.

Job Tags

Full time,

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