Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and operating large-scale batch and real-time ML systems for advertising technology with an accent on pricing, inventory optimization, and trust & safety. Focus on designing, deploying, and managing end-to-end MLOps workflows and distributed systems at scale.

Location: Must be based in or able to work from San Jose, CA or Seattle, WA.

Compensation: $199,000–$318,500 (San Jose) / $184,500–$295,000 (Seattle).

Company

hirify.global is a global travel technology leader powering diverse brands to deliver personalized experiences for travelers and partners worldwide.

What you will do

• Collaborate with engineering, data science, and product teams to build large-scale batch and real-time ML systems.
• Lead the end-to-end lifecycle of ML projects from system design and model development to production operations.
• Develop and promote best practices in MLOps, including model quality, observability, and scalable system design.
• Mentor junior engineers and support cross-team integration of ML into production environments.
• Drive technical direction for advertising use cases, including pricing, inventory, and content ranking.
• Lead cross-organizational initiatives to enhance the performance, reliability, and scalability of ML infrastructure.

Requirements

• Must have 8+ years (BS) or 6+ years (MS) of industry experience in ML production.
• Proficiency in Python and strong working knowledge of Scala or Java.
• Strong experience with distributed data processing and large-scale datasets using Spark.
• Expertise in end-to-end MLOps, CI/CD for ML, model versioning, and automated retraining.
• Experience operating cloud-native ML platforms like AWS, SageMaker, and Kubernetes.
• Strong ownership of ML observability, including drift detection, alerting, and root-cause analysis.

Nice to have

• Experience building and scaling production AI systems, including LLMs, RAG, and retrieval-based architectures.
• Hands-on experience with ranking, prediction, classification, or recommendation models.
• Background in ads, marketplaces, e-commerce, or travel platforms.

Culture & Benefits

• Full benefits package including medical, dental, and vision insurance.
• Flexible work model with office presence.
• Generous paid time off, parental leave, and wellness & travel reimbursement.
• Travel discounts and IATAN membership.
• Opportunities for professional development and career growth in a collaborative environment.