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AI / Machine Learning Engineer II

MoneyLionUSA - Mountain View, CAAI Foundry
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Salary
$300K USD
Job type
Full-time
Posted
13 Aug 2026
Status
Open · checked 7d ago

About this role

The AI / Machine Learning Engineer II position at MoneyLion in Mountain View, California, involves designing and deploying applied machine learning systems to optimize customer growth, personalization, and lifetime value. This opportunity suits an experienced machine learning professional who enjoys taking end-to-end ownership of predictive models and collaborating with cross-functional product teams.

Role Overview

MoneyLion seeks a hands-on engineer to join the AI Foundry team as part of a broader corporate transformation powered by Gen. The professional in this position will frame complex business problems, build advanced predictive models, design rigorous experiments, and partner with engineering departments to transition algorithms into reliable production environments.

Key Responsibilities

Own applied machine learning initiatives from initial data preparation and algorithm development through production deployment, monitoring, and ongoing optimization.
Deploy and operate scalable machine learning solutions with robust frameworks for inference, model observability, versioning, retraining, and rollbacks.
Design and evaluate A/B tests, holdout groups, and validation frameworks to measure incremental customer and business outcomes.
Build propensity, response, uplift, ranking, contextual bandit, segmentation, and lifetime-value models.
Partner with data engineering, backend, product, and analytics teams to integrate models into dependable production systems.
Create automation and reusable modules to streamline development workflows and improve delivery speed.

Requirements

Five or more years of professional experience in applied machine learning, data science, ML engineering, or a related field, or equivalent impact.
Demonstrated ability to build and evaluate models using large-scale behavioral, transactional, or customer data.
Practical background in designing experiments, defining success metrics, measuring incrementality, and interpreting test results.
Experience collaborating with engineering and product groups to operate production machine learning pipelines and cloud-based MLOps workflows.
Technical degree in a quantitative discipline such as Computer Science, Mathematics, or Economics, though equivalent practical experience is fully valued.

Nice to Have

A Master’s or PhD degree in a quantitative field.
Prior specialization in recommender systems, uplift modeling, causal inference, contextual bandits, pricing strategies, or lifecycle personalization.

Skills and Tools

Strong coding proficiency in Python alongside experience with common machine learning frameworks and model selection techniques.
Advanced SQL capabilities paired with familiarity using big data platforms like BigQuery or Spark for feature engineering and data processing.
Solid statistical reasoning covering A/B testing, causal measurement, and business-impact analysis.
Knowledge of cloud machine learning platforms, deployment pipelines, CI/CD, and scalable system design.

Salary and Benefits

Annual base salary of $300,000 USD.
Access to flexible working options, time off policies, comprehensive benefits, and well-being programs.

About the Company

MoneyLion operates as part of Gen, a global enterprise dedicated to powering digital freedom and financial wellness for nearly 500 million users across more than 150 countries. Gen brings together trusted consumer brands like Norton, Avast, LifeLock, and MoneyLion to deliver award-winning cybersecurity, privacy, and financial solutions.

How to Apply

Interested candidates should visit the official company careers page to submit an application and complete the required steps of the hiring process.

Skills and tech stack

PythonSQLSparkMLOps

Questions candidates ask

What is the location of this job?

The role is based in Mountain View, California, within the United States.

What is the salary for the AI / Machine Learning Engineer II position?

The position offers an annual salary of $300,000 USD.

What level of experience is required?

Candidates should have five or more years of professional experience in applied machine learning, data science, ML engineering, or a related discipline.

What technical skills are needed?

The role requires strong Python and SQL skills, experience with machine learning frameworks, familiarity with big data tools like BigQuery or Spark, and a background in MLOps and experimentation.

What does the hiring process look like?

The evaluation process includes a video introduction, a technical interview, a hiring manager interview, and a final assessment with AI leadership.

Ready to apply?

The application is on the official MoneyLion careers page.

Apply on company site