Senior Machine Learning Engineer

Location: Mountain View, California, United States

Salary: $171,000–$231,500 per year base pay

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Architect, code, optimize, deploy, monitor, and improve machine learning models and solutions at scale.
• Design systems that improve machine learning scalability, usability, and performance.
• Productionize prototype models for customer-facing use, including training automation, prediction orchestration, and model evaluation.
• Enhance existing algorithms and codebases to improve prediction quality and reduce training time.
• Build reusable tools for data processing, data management, and faster model training.
• Collaborate with product managers, data scientists, and engineers while refining features and communicating results.

Requirements

• Bachelor’s, master’s, or doctoral degree in computer science or a related field, or equivalent practical experience.
• Production software development experience with Scala, Java, and Python.
• Strong foundations in data structures, algorithms, performance complexity, computer architecture, I/O, and memory tuning.
• Experience with Git and GitHub workflows and writing production-ready code.
• Knowledge of machine learning techniques including classification, regression, clustering, training, validation, and testing.
• Experience with SQL, Scikit-learn, NLTK, NumPy, Pandas, TensorFlow, Keras, Spark, Hive, Flink, AWS SageMaker, CI/CD, Docker, and Kubernetes.

Culture & Benefits

• Work with data scientists and machine learning engineers on customer-focused financial technology products.
• Explore and apply state-of-the-art technologies.
• Competitive compensation with performance-based rewards.
• Potential eligibility for cash bonus, equity rewards, and employee benefits under applicable plans.