Miteksystems 221d ago

EUR 50000–75000/yr

Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness)

SpainRemoteFull Timemid

Data ScienceMachine Learning EngineerDataMachine LearningData & AI

2 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of experience deploying machine learning models into production Strong background in computer vision (image-based ML) Solid programming skills in Python Hands-on…

Technical Tools

awsdockerpandaspythonpytorchscikit-learntensorflowci-cdetlmachine-learning

Mitek (NASDAQ: MITK) is a global leader in digital identity verification, biometric authentication, and fraud prevention. Our AI-powered platform combines computer vision, biometrics, and machine learning to help organizations securely onboard users and defend against emerging threats such as deepfakes and AI-driven fraud.

Trusted by over 7,500 organizations worldwide, Mitek processes millions of identity transactions daily. Headquartered in San Diego, with a strong presence across Spain, France, Mexico, and the UK and the Netherlands. Visit us at www.miteksystems.com.we are driven by a clear mission: protect what’s real.

At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.

We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients.

We are a Virtual First organization that values flexibility, collaboration, and innovation, while fostering an inclusive environment where diverse perspectives drive better outcomes.

What We Offer

~1 min read

✓Work on AI that fights AI-driven fraud

✓Direct impact on protecting users from real-world threats

✓Collaborate with experts across fraud, biometrics, and AI research

✓Opportunities for growth across teams and domains within Mitek

✓A culture focused on collaboration, innovation, and continuous learning

As a Machine Learning Engineer, you will join our Fraud & AI Integrity group, specifically focused on deepfake detection, digital manipulation, and injection attack detection in selfie-based identity verification.

This is a hands-on, production-focused role where you will design and deploy computer vision models that operate in adversarial environments. Your work will directly contribute to protecting users and businesses from sophisticated fraud attacks powered by AI.

Design, train, and deploy machine learning models for image-based fraud detection, including:

Deepfake detection

Injection attack detection

Digital manipulation analysis in biometric verification

Work end-to-end across the ML lifecycle:

Dataset curation (large-scale, noisy, adversarial datasets)

Model development and training

Evaluation and iteration using fraud-relevant metrics

Production deployment and monitoring

Build robust data pipelines, including:

Data validation, cleaning, and labeling strategies

Handling class imbalance, bias, and distribution shift

Define and execute evaluation frameworks focused on real-world performance:

Precision/recall trade-offs

False positive vs. fraud detection balance

Robustness to unseen attack types

Collaborate closely with:

Fraud & AI research teams

Data collection and annotation teams

MLOps and platform engineering

Product teams

Contribute to production ML systems, ensuring:

Scalability and reliability

Monitoring and performance tracking

Continuous improvement against evolving threats

A pragmatic problem-solver who understands the gap between research and production

Comfortable working in adversarial, fast-evolving problem spaces

Able to clearly communicate technical concepts and trade-offs

Collaborative and adaptable, with a strong sense of ownership

Motivated by building technology that has real-world impact

Requirements

~1 min read

Bachelor’s degree in Computer Science, Engineering, or related field

2+ years of experience deploying machine learning models into production

Strong background in computer vision (image-based ML)

Solid programming skills in Python

Hands-on experience with PyTorch and/or TensorFlow

Experience working with real-world datasets and building data pipelines

Tech Stack

Cloud: AWS

Languages: Python

ML Frameworks: PyTorch, TensorFlow, Scikit-learn

Data Tools: Pandas, OpenCV

Infrastructure: Docker, CI/CD, cloud-based ML pipelines

Advanced degree (PhD or equivalent experience in Machine Learning or Computer Vision)

Experience in fraud detection or adversarial ML domains

Experience with deepfake detection, image forensics, or manipulation detection

Familiarity with generative AI models (training or analysis)

Background in data science or data engineering

Competitive package

Full Remote contract

Annual Leave

Home Office Allowance

Annual Bonus – up to 10%

Health Insurance

Learning & Development: We promote continuous learning and support role-aligned development opportunities, with access to a complimentary LinkedIn Learning licence.