Senior Machine Learning Engineer (Spain remote)

Location
Spain
Position Type
Full Time
Team
Software engineering

Mitek (NASDAQ: MITK) is a global leader in digital identity and digital fraud prevention. Our global platform and advanced identity verification technologies bridge the gap between the physical and digital world, providing our customers with new levels of control over their consumers’ experiences and making digital access faster and more secure than ever. Our solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning. Learn more at www.miteksystems.com.

We are growing our LiveDoc Team in Spain, and we are looking for a Sr. ML  Engineer like you!

The LiveDoc Team is responsible for: ensuring that document liveness technology delivers accurate document liveness assessment, document layout analysis, document detection, image quality assessment. These developments and features will create the next generation technology that will ensure the continuity of our leadership in the market by bringing document liveness to the next level.

Your mission will be to develop the fastest, most accurate liveness detection engine.

As part of this team, you will have the opportunity to work with cutting edge deep learning models and computer vision algorithms that provide state-of-the-art performance on the critical business problem of liveness detection in documents. You will develop innovative technology to detect fraud on transactions based on a single document photo! 

What do we offer you?

  • Flexible hours and the possibility to work fully remote (in Spain) or from our Barcelona office.
  • Opportunity to work with cutting-edge technologies and challenging tasks in a highly qualified international team.
  • Opportunity to contribute to the product that is used by millions of people around the world.
  • An innovative, fast paced environment with a great culture.
  • A diverse, inclusive, Agile-native ecosystem where everybody counts.
  • A personal development: We offer access to continuous training, participation in international conferences, joining our research reading group, and protected time for you to learn and experiment alone or in collaboration with other researchers.
  • Get a compensation package that includes a highly competitive salary + bonus and many perks and benefits.

What will you do?

  • As an expert in machine learning productization with a background in computer vision applied to document analysis, you will be performing the following tasks:
  • Configure and tune the parameters of computer vision algorithms in the pipeline to maximize the extraction accuracy of checks, which are typically handwritten.
  • Implement and optimize extraction post-processing methods that maximize accuracy by aggregating redundant extracted data leveraging confidence scores.
  • Support semi-automatic data annotation for high-volume datasets by leveraging existing extraction.
  • Configure and maintain feature detection algorithms on checks for fraud identification.
  • Maintain and develop few-shot anomaly detection models to identify fraud on checks.
  • Apply and maintain (re-training) deep learning models for field location and OCR extraction on checks. 

What do you need to fit in this role?

  • Ph.D./MSc degree in Computer Science, applied machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, software engineering, or a relevant field.
  • 5+ years of experience in computer vision, machine learning, and image processing.
  • Hands-on experience implementing deep learning models.
  • Familiarity with reproducibility concept in machine learning.
  • Excellent Python programming skills.
  • Experience in one or more deep learning frameworks: Tensorflow, Pytorch.
  • Familiarity with Linux/Docker/git/MongoDB.
  • Experience with MLOPS tools: dvc/mlflow/ClearML.

What will be great you have to be a perfect match?

  • Experience in deep learning model optimization for mobile devices and CPU inference.
  • Experience in distributed training of deep learning models and Document Image Analysis.
  • Experience with cloud computing: GCP/AWS.
  • Familiar with Agile Development methodologies.
I'm interested