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About the Role
We're seeking a Machine Learning Engineer to own the ML side of Offerwall fraud prevention. You'll take our real-time anomaly detection and device risk models from development into production, build the labeled fraud dataset and evaluation methodology, and modernize how we train, serve, and monitor models. This is a hands-on role with real scope, and you'll have a direct line from the models you ship to dollars saved.
Responsibilities
- Ship Fraud Models to Production: Take real-time anomaly detection and device risk models from development to production to drive payout and blocking decisions.
- Build the Ground Truth: Create and maintain a labeled fraud dataset, and define evaluation methodology and baseline fraud-efficacy metrics.
- Own Features End to End: Design and evolve streaming and batch features feeding the Redis online feature store, partnering with data engineering.
- Modernize ML Infrastructure: Plan and drive the evolution of the training and serving stack, evaluating a move from SageMaker to Kubeflow and KServe.
- Detect New Fraud Patterns: Investigate fraud spikes, analyze user and device behavior, and turn findings into new detection signals, features, and models.
- Operate & Document: Monitor model and feature health in production, write runbooks and data lineage docs, and participate in on-call for the fraud detection stack.
Requirements
- Several years building ML models and taking them all the way to production, including deployment, monitoring, and iteration after launch.
- Hands-on experience with fraud detection, abuse prevention, risk scoring, or anomaly detection, including working with sparse, noisy, or adversarial labels.
- Experience with low-latency model serving and online/offline feature pipelines (e.g., Redis, Kafka, Airflow).
- Ability to build labeled datasets from imperfect signals and design evaluation methods that hold up when fraud patterns shift.
- Strong Python and SQL.
- Working knowledge of a cloud ML platform such as AWS SageMaker, Kubeflow, or KServe.
- Take ambiguous problems to shipped outcomes with limited oversight, write things down, and work well with backend, data, and product partners.
- Use AI coding tools to move faster.
- Sufficient knowledge of English for professional verbal and written exchanges.
Skills
- Python
- SQL
- AWS SageMaker
- Kubeflow
- KServe
- Redis
- Kafka
- Airflow
Location
- Zone A
- Zone B
- Zone C
Work Type
- Full-time
Experience Level
- Several years
Salary/Compensations
- Zone A: $178,700 - $232,300
- Zone B: $159,100 - $206,800
- Zone C: $140,700 - $182,900
Benefits
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Support for new parents through leave and family-care programs
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
About the Company
- Offerwall by Unity is a leading mobile advertising and monetization platform that empowers game developers to maximize revenue and engage users through rewarded experiences.
- Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month.
- Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality.
Equal Opportunity
- Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.