About the Company
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
About the Role
The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market.
Responsibilities
- Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio.
- Design and implement machine learning, deep learning, classical CV focused on fraud detection.
- Research to support the deployment of the advanced algorithms.
- Deploy models as AWS SageMaker endpoints or directly onto devices.
- Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences.
- Work collaboratively with other engineers and product managers in an Agile development environment.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Master’s).
- Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection.
- Deep understanding of how to convert ML metrics to product goals.
- Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code.
- Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
- Strong communication and problem-solving skills.
- Great to have: Experience in working with LLM’s or VLM’s; Work with image or video generation; Experience with cloud environments - AWS / GCP; Experience in working in global organizations across several timezones
Conditions
- Competitive compensation
- Opportunity to work on impactful AI projects
- International environment and talented teams