Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.
At Mitek, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity. Very simply, we know that diversity is a foundational strength for our organization. A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind. Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.
We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.
We are growing our Face Machine Learning Team in Spain, and we are looking for a Sr. ML Engineer!
Join our innovative team as we revolutionize biometric security by delivering cutting edge solutions in face recognition, presentation attack detection, injection attack detection, and deepfake detection. Your mission will be to develop the fastest, most accurate detection engine that tackles these critical challenges in face image security. As part of our team, you will have the opportunity to work with state-of-the-art deep learning models and computer vision algorithms that set the industry standard for performance and reliability. If you have strong expertise in computer vision and deep learning, coupled with experience as a tech lead, we want you to help guide our technical strategy and mentor our talented engineers.
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?
- Tackle complex machine learning challenges, from designing, training, evaluating, and optimizing deep learning models for a wide range of tasks: face detection and recognition, deepfake detection, image quality assessment and others.
- Perform deep data analysis and build data-driven algorithms.
- Collaborate cross-functionally to transform research prototypes into robust, high-performance production solutions.
- Provide technical leadership, making crucial decisions on ML architecture, model optimization, and coding practices.
- Stay at the forefront of emerging technologies and research, driving continuous improvement and innovation in our solutions.
- Own the ML Ops stack, with a strong emphasis on training, evaluation, and model versioning to ensure our machine learning models are reliable, scalable, and production ready.
What do you need to fit in this role?
- Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
- Experience leading projects.
- Experience communicating and working across functions to drive solutions.
- 5+ years of experience in software engineering, computer vision, machine learning, and image processing.
- Strong proficiency in Python and ML Ops.
- Experience in one or more deep learning frameworks: Tensorflow / Pytorch.
- Experience with Linux, Docker, git, and MongoDB.
- Experience with MLOPS tools: dvc / MLflow/ ClearML / Airflow.
€60,000 - €70,000 a year