Staff Machine Learning Engineer (Fintech)

Location: Mountain View, California, United States

Base pay: $202,500–$274,000 per year in Mountain View; the position may also be eligible for cash bonus, equity rewards, and benefits.

Company

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

What you will do

• Lead the conception, coding, and deployment of data science models at scale using current industry tools.
• Guide business leaders and stakeholders on using available data for critical business needs.
• Develop, maintain, and scale web services that orchestrate AI and machine learning functions.
• Partner with data scientists to implement and refine algorithms and build pipelines for training and deploying models.
• Discover, extract, and clean complex, large-scale data sources for machine learning analysis.
• Run A/B tests, evaluate model impact, communicate results, and assess emerging technologies for customer benefits.

Requirements

• BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, or a related field.
• 8+ years of experience developing predictive models, performing statistical analysis, or equivalent software engineering experience.
• Strong proficiency in object-oriented languages such as Python, Scala, or Java.
• Deep knowledge of data science tools and frameworks including Python, Scikit, Pandas, TensorFlow, Keras, and Spark.
• Strong software engineering fundamentals, including data structures, algorithms, performance complexity, Git, and production-ready coding.
• Experience with web services such as REST and API design.
• Experience integrating applications and platforms with cloud technologies such as AWS and deploying highly scalable software supporting millions or more users.
• Practical experience with supervised and unsupervised machine learning, Generative AI including autoencoders, GANs, and VAEs, and GPU acceleration with CUDA and cuDNN.
• Excellent communication skills, including conducting meetings, giving professional presentations, and explaining complex technical concepts to non-technical business stakeholders.

Culture & Benefits

• Work focuses on detecting and preventing fraud and financial risk for money movement events.
• Competitive compensation with a pay-for-performance rewards approach.
• Potential eligibility for cash bonus, equity rewards, and benefits under applicable plans and programs.
• Pay is based on job-related knowledge, skills, experience, and work location.
• Regular comparisons across ethnicity and gender categories support ongoing fair pay.