Machine Learning Engineer II (AI)

TL;DR

Machine Learning Engineer II (AI): Building and operating the ML infrastructure that powers personalized financial recommendations with an accent on feature engineering, data systems, and model training. Focus on translating experimental notebooks into maintainable, production-grade code and monitoring production model performance.

Location: Oakland, California

Salary: $140,500-$190,000

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Write data ETL code to read, clean, and transform raw feature sets into enriched training-ready datasets.
• Perform feature enrichment through aggregation logic.
• Train binary classification models and evaluate model performance.
• Build scalable data pipelines in a big data environment.
• Implement models into production serving infrastructure and support model refresh workflows.
• Collaborate with data scientists, platform engineers, and product teams to deliver ML-powered features.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of professional experience in software engineering, data engineering, or machine learning engineering.
• Strong proficiency in Python and experience with data libraries (pandas, NumPy, scikit-learn).
• Experience with SQL and working with large-scale datasets.
• Familiarity with the end-to-end ML workflow.
• Clear communication skills.

Nice to have

• Experience with big data tools such as Apache Spark, BigQuery, or Dataflow.
• Familiarity with ML frameworks beyond scikit-learn (e.g., TensorFlow, Keras, XGBoost, PyTorch).
• Experience with workflow orchestration tools (Airflow, Kubeflow, TFX).
• Experience with GCP services (AI Platform, Dataproc, Composer, BigTable).
• Understanding of model serving patterns (batch scoring, real-time inference, A/B testing).

Culture & Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs.
• Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.