TL;DR
Senior Machine Learning Engineer (AI): Designing and scaling machine learning systems to directly improve ad relevance, ranking, and optimization with an accent on deploying large-scale ML systems and operating production pipelines. Focus on diagnosing model performance, executing experiments that drive measurable results, and leading design and code reviews for technical excellence.
Location: Must be based in the United States (Menlo Park, CA or Seattle, WA)
Salary: $197,600 - $247,000 USD
Company
hirify.global builds powerful AI advertising solutions and a planet-scale machine learning platform to democratize advanced AI for businesses.
What you will do
- Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization.
- Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements.
- Collaborate directly with customers and partners to understand business goals and deliver data-driven ML solutions.
- Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement.
- Partner with Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency.
- Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams.
Requirements
- 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains.
- Fluency in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions.
- Strong software engineering fundamentals: data structures, algorithms, and system design.
- Proficiency in Python (C++ or Java a plus).
- Experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with distributed data and compute systems like Apache Beam, Dataflow, or Flume.
Culture & Benefits
- Competitive benefits package for United States residents.
- Work in an exciting period of growth for an AI advertising solutions company.
- Culture values humility, uncapped growth mindset, and creating real value.
- Emphasis on collaboration, accountability, and building scalable systems.
- Support for employee well-being and career development.
- Commitment to diversity, inclusion, and belonging.
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