Senior Machine Learning Engineer, Credit Risk

Build credit risk intelligence at scale with Intuit’s Fintech Risk AI/ML team (Team Apollo). Team Apollo focuses on detecting and preventing credit risk across all lending money movement services products. As a Senior Machine Learning Engineer in Mountain View, CA (onsite), you will conceive, code, deploy, and scale machine learning models and the web services that support them, helping turn customer-impacting risk signals into reliable production systems.

You will be embedded within a vibrant team of data scientists, working closely with peers across engineering and product to deliver measurable model performance improvements through rigorous experimentation and clear communication of results.

What you’ll do

• Conceive, implement, and deploy data science models at scale using modern industry tools
• Develop and maintain web services that orchestrate ML functions across the AI team
• Perform end-to-end data readiness work: discover data sources, obtain access, import, clean, and prepare data for machine learning
• Collaborate with data scientists to create and refine features and build training and deployment pipelines
• Partner on machine learning and other algorithm design, implementation, and refinement
• Run regular A/B tests, gather data, conduct statistical analysis, and draw conclusions about model impact
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate findings to peers and leaders
• Evaluate new technology shifts and assess how they connect to the customer benefits the team aims to deliver

What you’ll bring

• BS, MS, or PhD in Computer Science or a related field, or equivalent work experience
• 6+ years of experience
• Strong knowledge of data science tools and frameworks including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark
• Understanding of core machine learning principles such as training and validation
• Demonstrated experience with web services (for example REST) and API design
• Experience with object-oriented languages such as Scala, Python, or Java (preferred)
• Knowledge of data query and processing tools such as SQL
• Computer science fundamentals including data structures, algorithms, and performance complexity, plus how computer architecture affects software performance (for example I/O and memory tuning)
• Software engineering fundamentals, including version control (for example Git) and the ability to write production-ready code
• Experience deploying highly scalable software supporting millions or more users
• Experience with GPU acceleration such as CUDA and cuDNN
• Experience integrating applications and platforms with cloud technologies such as AWS
• Strong oral and written communication skills, including running meetings and presenting complex technical material to non-technical users

Compensation: USD 171,000 - 231,500 per year.

Technologies: Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark, REST, Scala, Java, SQL, Git, CUDA, cuDNN, AWS.