Senior ML Engineer, Credit Risk — Scale AI for Fintech

Intuit; Mountain View (CA); On-site; USD 171,000 - 232,000; Full time

Job summary

Intuit seeks a Senior Machine Learning Engineer to join the Fintech Risk AI/ML team (Team Apollo) in Mountain View. You will work embedded with data scientists to conceive, code, and deploy scalable ML models and web services for AI functionalities across lending products.

The role emphasizes feature engineering, data wrangling, model evaluation, and cross-functional collaboration. Candidates should have strong Python-based tool experience, ML framework knowledge (TensorFlow, Keras,

Qualifications

• BS, MS, or PhD in Computer Science or related field, or equivalent work experience.
• 6+ years of experience.
• Knowledgeable with Data Science tools and frameworks (i.e Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
• Understand machine learning principles (training, validation, etc.).
• Demonstrated experience with web services (e.g. REST) and API design.Experience with any of the following Object Oriented Languages (OOD): Scala, Python, Java preferred
• Knowledge of data query and data processing tools (i.e. SQL)
• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
• Software engineering fundamentals: version control systems (i.e: Git) and workflows, and ability to write production-ready code
• Experience deploying highly scalable software supporting millions or more users
• Experience with GPU acceleration (i.e CUDA and cuDNN)
• Experience with integrating applications and platforms with cloud technologies (i.e AWS)
• Strong oral and written communication skills
• Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Responsibilities

• Embed within a data science team of collaborators and contribute end-to-end modeling work
• Conceive, code, and deploy scalable ML models and pipelines
• Develop and maintain web services for the AI team that orchestrate ML functions
• Handle data wrangling, feature engineering, modeling, and evaluation across experiments
• Identify and access data sources, clean and prepare data for ML readiness
• Collaborate with data scientists to build features and train/deploy models
• Partner with stakeholders to implement ML algorithms and improve products
• Run regular A/B tests, analyze results, and iterate on model improvements
• Present findings to peers and leadership and translate results across teams

Skills

Machine learning

Data wrangling

Feature engineering

Model deployment

Communication

Education

BS degree in CS

MS degree in CS

PhD in CS

Equivalent experience

Tools

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

REST

SQL

CUDA

cuDNN

AWS

Job description

Intuit seeks a Senior Machine Learning Engineer to join the Fintech Risk AI/ML team (Team Apollo) in Mountain View. You will work embedded with data scientists to conceive, code, and deploy scalable ML models and web services for AI functionalities across lending products.

The role emphasizes feature engineering, data wrangling, model evaluation, and cross-functional collaboration. Candidates should have strong Python-based tool experience, ML framework knowledge (TensorFlow, Keras,