TL;DR
Senior Machine Learning Engineer (Advertising Technology): Building and operating large-scale batch and real-time ML systems for ad platforms with an accent on pricing, inventory optimization, and trust & safety. Focus on architecting end-to-end MLOps pipelines, ensuring system reliability, and mentoring engineering teams in a cloud-native environment.
Location: Must be based in the United States (Seattle or San Jose preferred)
Compensation: $184,500 – $318,500
Company
hirify.global is a global travel technology leader powering diverse brands to provide innovative personalized experiences through data and machine learning.
What you will do
- Design and build large-scale batch and real-time ML systems for advertising use cases.
- Lead end-to-end ML project lifecycles from system design to production deployment.
- Establish MLOps best practices, including CI/CD for ML, monitoring, and drift detection.
- Mentor junior engineers and drive shared technical standards across cross-functional teams.
- Partner with Product and Platform teams to deliver high-impact ML applications for pricing and ranking.
- Lead complex, cross-organizational initiatives to scale ML infrastructure and improve reliability.
Requirements
- Must be authorized to work in the United States
- 6-8+ years of industry experience building and deploying production ML models.
- Strong proficiency in Python, plus Java or Scala.
- Experience with distributed data processing and large-scale datasets using Spark.
- Expertise in MLOps, including model versioning, automated retraining, and monitoring.
- Hands-on experience with cloud-native ML platforms like AWS, SageMaker, or Kubernetes.
Nice to have
- Experience building and scaling LLMs, RAG pipelines, or retrieval architectures.
- Strong foundation in ranking, recommendation, or NLP models.
- Background in ads, marketplaces, e-commerce, or travel platforms.
Culture & Benefits
- Comprehensive benefits package including medical, dental, and vision insurance.
- Flexible work model with modern office environments.
- Travel perks including wellness & travel reimbursement and travel discounts.
- Generous paid time off, parental leave, and career development resources.
- Supportive culture recognized as a Best Place to Work on Glassdoor.
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