Machine Learning Engineer, Digital Experience

Location: Santa Clara, California; primarily in-office at the Santa Clara office

Annual base salary: $180,000–$270,000 USD. The role may also be eligible for incentive pay and/or equity.

Company

hirify.global is a data platform company serving hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

What you will do

• Take machine learning models from prototype to production by building scalable training, serving, and inference pipelines.
• Design and maintain data pipelines, feature stores, and workflow orchestration for clean, timely, and tested model inputs.
• Build monitoring for model performance, data drift, and pipeline health, and respond to reliability issues.
• Build and validate machine learning models and statistical approaches when required.
• Collaborate with Data Scientists, Data Engineers, and Software Engineers to turn business questions into production systems.

Requirements

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent practical experience.
• 3–5 years of industry experience in data engineering, machine learning engineering, or a hybrid data science and engineering role, including shipping models to production.
• Production-quality software engineering skills in Python and SQL, including writing well-tested code.
• Hands-on experience with a workflow orchestration tool such as Airflow or Dagster.
• Experience in a cloud-native environment using AWS, GCP, or Azure, plus working knowledge of machine learning and statistical modeling.
• Familiarity with Scikit-Learn or PyTorch, strong communication skills, and the ability to work through ambiguity and shifting priorities.

Culture & Benefits

• Innovation-focused environment that encourages critical thinking and challenging work.
• Support for professional growth and meaningful contributions.
• Collaborative culture focused on supporting colleagues and setting aside ego.
• Flexible time off, wellness resources, and company-sponsored team events.
• Employee Resource Groups and a commitment to inclusive leadership and accessibility accommodations.