Senior Machine Learning Engineer (Fraud & Financial Risk)

Location: Mountain View, California, United States

Base pay: $171,000–$231,500 annually

Company

hirify.global is a financial technology platform serving millions of customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Conceive, develop, test, and deploy machine learning models at scale for fraud and financial risk detection.
• Discover, access, import, clean, and transform data into machine-learning-ready datasets.
• Develop features and pipelines for training and deploying models with data scientists.
• Build and maintain web services that orchestrate AI and machine learning functions.
• Run A/B tests, perform statistical analysis, and evaluate model impact.
• Collaborate with product managers, data scientists, and product engineers while presenting technical results to technical and non-technical stakeholders.

Requirements

• 6+ years of experience and a BS, MS, PhD, or equivalent experience in computer science or a related field.
• Experience with machine learning principles, data science tools, and frameworks such as Python, scikit-learn, NumPy, Pandas, TensorFlow, Keras, R, or Spark.
• Experience with REST web services, API design, and object-oriented programming in Scala, Python, or Java.
• Knowledge of SQL, data structures, algorithms, performance complexity, and software engineering fundamentals.
• Experience writing production-ready software, deploying highly scalable systems, and supporting millions of users.
• Experience with GPU acceleration, cloud platforms such as AWS, and strong written and verbal communication.

Culture & Benefits

• Competitive compensation with performance-based rewards.
• Potential eligibility for cash bonuses, equity rewards, and employee benefits.
• Cross-functional collaboration with data scientists, product managers, and product engineers.
• Opportunities to evaluate emerging technologies and connect them to customer benefits.