Senior Machine Learning Engineer, Smart Money Services - Fraud & Financial Risk

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

Job summary

Intuit, Inc. invites you to join the Fintech Risk AI/ML Smart Money Services team as a Senior Machine Learning Engineer.

You will be embedded with a vibrant data science team to conceive, code, and deploy models at scale to detect fraud and manage financial risk for Money Movement events. You will develop web services for the AI team, perform feature engineering, build pipelines, and run rigorous A/B tests while communicating results to cross-functional partners.

Qualifications

• PhD, MS, or BS in Computer Science or a related field, or equivalent experience.
• Minimum 6 years of hands-on ML engineering experience.
• Proficiency with Python and data science libraries (NumPy, Pandas, scikit-learn).
• Experience with REST APIs and scalable web services.
• Strong SQL knowledge and data querying skills.
• Experience deploying ML models at scale on cloud platforms (AWS).

Responsibilities

• In this role you’ll be embedded inside a vibrant team of data scientists.
• You’ll 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.
• Data wrangling, feature engineering, developing models, and testing metrics.
• Discover data sources, get access, import, clean, and make them machine learning ready.
• Work with data scientists to create features and build pipelines to train and deploy models.
• Partner with data scientists to implement and refine ML algorithms.
• Run regular A/B tests, analyze data, and draw conclusions on model impact.
• Collaborate with product managers, data scientists, and engineers, communicating results.
• Explore new tech shifts to connect with customer benefits.

Skills

6+ years experience

Python

Scikit-learn

NLTK

NumPy

Pandas

TensorFlow

Keras

R

Spark

REST APIs

Scala

Java

SQL

CS fundamentals

Git

Performance optimization

Distributed systems

Data wrangling

Feature engineering

CUDA/cuDNN

AWS

Communication

Presentations

Education

BS/MS/PhD in Computer Science or related field

Job description

Come join the Fintech Risk AI/ML Smart Money Services (SMS) as a Senior Machine Learning Engineer. The SMS team is responsible for detecting and preventing fraud and financial risk for all Money Movement events at Intuit.

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.

The expected base pay range for this position is:
Mountain View $171,000 - $231,500