Sr. Model Governance Engineer

Mitek Systems
$130,000 - $150,000Remote

About The Position

As a Sr. Model Governance Engineer, you will help to ensure that AI/ML models are developed, deployed, and monitored in a controlled, transparent, and compliant manner. This role partners closely with engineering, data science, risk, compliance, and product teams to support strong model governance practices and keep models audit ready.

Requirements

  • Bachelor’s degree, or higher, in a technical or quantitative field (Computer Science, Engineering, Statistics, Mathematics, or similar)
  • Knowledge, skills and abilities typically gained through 5+ years of experience in model governance, model validation, analytics, or related engineering roles
  • Experience managing model documentation, approvals, controls, or lifecycle tracking
  • Understanding of AI/ML models and how they are developed, tested, and used
  • Familiarity with model validation concepts and benchmarking approaches
  • Working knowledge of programming languages such as Java and Python
  • Familiarity with common data formats such as CSV and JSON
  • Experience writing or reviewing SQL and querying databases, including working with datasets for testing or validation
  • Understanding of application development concepts and software development lifecycles
  • Familiarity with SDKs, APIs, and integration patterns used in production systems
  • Experience working with or supporting systems deployed on cloud platforms (e.g., AWS, Azure, or GCP)
  • Ability to review technical implementations to understand how models are built, deployed, and monitored
  • Experience using documentation or tracking tools to support governance, review, or audit activities
  • Awareness of data privacy and security considerations when working with model data and datasets

Nice To Haves

  • Experience supporting models used in fraud, risk, or decisioning systems is a plus
  • Knowledge of regulatory or governance expectations related to model risk is a plus

Responsibilities

  • Maintain the enterprise model inventory, including model owners, purpose, risk rating, and deployment status
  • Apply model risk ratings and confirm required governance steps are completed
  • Coordinate model release approvals, evidence collection, and sign off processes
  • Manage versioning, archiving, and traceability for models and related documentation
  • Ensure models have complete and standardized documentation, such as Model Cards
  • Document model intent, assumptions, limitations, and known risks
  • Capture explainability considerations and any human in the loop processes used
  • Maintain data lineage and dataset information for training, validation, and monitoring
  • Ensure required validation evidence is available, including performance and testing results
  • Support stress testing or review activities for higher risk models
  • Help set up and support ongoing model monitoring activities
  • Trigger governance reviews when model, data, or scope changes occur
  • Partner with engineering, data science, risk, compliance, and governance teams
  • Produce clear and consistent governance documentation for both technical and non-technical audiences
  • Support the preparation and review of datasets used for model testing and validation
  • Support or participate in governance reviews, validations, or review meetings

Benefits

  • Flexible hours with the possibility to work full remote (in the US) or from our San Diego office.
  • You'll be able to share feedback to shape and drive innovation using the latest technologies.
  • Opportunities to contribute to a highly diverse, inclusive an Agile native ecosystem.
  • Training and development opportunities in a fast-growing industry.
  • Highly competitive salary + bonus, perks and benefits.
  • A fun and inclusive work environment where teams succeed together.
  • Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics
  • Financial future: retirement/pension plan contributions, MTK stock plan participation
  • Income protection: life event & disability coverage
  • Paid time off: generous annual leave, company holidays, volunteer time off
  • Learning: e-learning license, tuition reimbursement, hackathons
  • Home office setup allowance
  • Additional/optional benefits: pet insurance, identity theft protection, legal assistance
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