Senior Machine Learning Engineer (Advertising Technology)

TL;DR

Senior Machine Learning Engineer (Advertising Technology): Designing and building large-scale batch and real-time ML systems for advertising use cases with an accent on pricing, inventory optimization, ranking, and trust & safety. Focus on owning the end-to-end lifecycle of ML projects, establishing MLOps best practices, and improving system performance, reliability, and scalability.

Location: Based in Seattle, Washington or San Jose, United States. This role is offered under a flexible work model.

Salary: Seattle: $184,500–$295,000; San Jose: $199,000–$318,500.

Company

hirify.global designs cutting-edge tech to make travel smoother and more memorable, powering global travel for everyone, everywhere.

What you will do

• Collaborate with Software Engineers and ML Engineers/Scientists to design and build large-scale batch and real-time ML systems for advertising use cases.
• Propose, lead, and deliver high-impact ML applications across pricing, inventory, content, and trust & safety.
• Own the end-to-end lifecycle of mid- to large-scale ML projects from system design to production operations.
• Establish and promote ML engineering best practices, including model quality, MLOps, observability, and scalable system design.
• Mentor junior engineers and support teams in integrating ML into existing production systems.
• Lead complex, cross-organizational initiatives to improve performance, reliability, and scalability of ML systems.

Requirements

• 8+ years (BS) / 6+ years (MS) of industry experience building and deploying machine learning models in production.
• Strong experience with distributed data processing and large-scale datasets (Spark preferred).
• Proven ability to design, deploy, and operate real-time or near–real-time ML systems end to end.
• Proficiency in Python with ML frameworks such as PyTorch or TensorFlow, and strong working knowledge of Scala or Java.
• Deep expertise in end-to-end MLOps, including training and inference workflows, CI/CD for ML, model versioning, and automated retraining.
• Strong ownership of ML observability, including model performance monitoring, data quality checks, drift detection, alerting, and root-cause analysis.
• Experience operating cloud-native ML platforms and distributed systems (AWS, SageMaker, Kubernetes, Spark, Databricks) with reliability, scalability, and cost awareness.

Nice to have

• Proven experience building and scaling production ML and AI systems, including LLMs, RAG pipelines, and embeddings.
• Strong foundation in machine learning fundamentals.
• Hands-on experience designing, training, tuning, and deploying ranking, prediction, classification, recommendation, forecasting, or NLP models.
• Background in ads, marketplaces, e-commerce, or travel platforms.

Culture & Benefits

• Full benefits package including exciting travel perks, generous time-off, and parental leave.
• Flexible work model and career development resources.
• Open culture where everyone belongs and differences are celebrated.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
• Recognized as a Best Place to Work on Glassdoor in 2024.

Hiring process

• Employment opportunities come from hirify.global’s Talent Acquisition and hiring teams.
• hirify.global participates in E-Verify to confirm work authorization with SSA and DHS.
• Assistance for application or recruiting process due to a disability or other health conditions is available via the Recruiting Accommodations Team.