Senior Machine Learning Engineer, Credit Risk

Come join the Fintech Risk AI/ML credit risk team(Team Apollo) as a Senior Machine Learning Engineer. Team Apollois responsible for detecting and preventing credit risk for all lending money movement Services products.

Responsibilities

• In this role, you’ll be embedded inside a vibrant team of data scientists
• You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools
• Help develop and maintain web services for the AI team which orchestrate various ML functions
• Important skills include data wrangling, feature engineering, developing models, and testing metrics
• Discover data sources, get access to them, import them, clean them up, and make them -machine learning ready
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
• Partner with data scientists to understand, implement, refine, and design machine learning and other algorithms
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models
• Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders
• Explore new technology shifts to determine how they might connect with the customer benefits we wish to deliver

Qualifications

• BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience
• 6+ years of experience
• Knowledgeable with Data Science tools and frameworks (i.ePython, 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Mountain View $171,000 - $231,500