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Senior Machine Learning Engineer (Spain remote)

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

We take pride in enabling career growth in an environment of innovation and teamwork.  Our commitment to all Mitekians is to do meaningful work that matters.  Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes.  We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities. 

 

Benefit offerings  may vary based on geographic location


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 

 

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further! 

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What You Should Know About Senior Machine Learning Engineer (Spain remote), Mitek Systems

Join Mitek as a Senior Machine Learning Engineer and be a pivotal part of our Face Machine Learning Team based in Spain! At Mitek, we pride ourselves on being leaders in digital and biometric identity authentication. Our mission is to revolutionize biometric security, and we need your expertise to tackle critical challenges in face recognition, presentation attack detection, and deepfake detection. You will be developing cutting-edge detection engines using the latest advancements in machine learning, artificial intelligence, and computer vision. If you're passionate about working with state-of-the-art deep learning models and are keen on mentoring other engineers while contributing to a product trusted by over 7,500 organizations worldwide, this is the role for you! Enjoy the flexibility of working fully remote or from our Barcelona office, and immerse yourself in a diverse, inclusive, and innovative environment that embraces you and your unique perspectives. We offer competitive salaries, exciting learning opportunities, and a chance to make a significant impact in the world of biometric security. Embrace this opportunity to work on challenging tasks alongside a highly qualified international team, where your skills can truly shine!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer (Spain remote) Role at Mitek Systems
What are the primary responsibilities of the Senior Machine Learning Engineer at Mitek?

The Senior Machine Learning Engineer at Mitek will tackle complex machine learning challenges, design and optimize deep learning models for face detection and recognition, and drive innovation within our Face Machine Learning Team. This role includes performing data analysis, collaborating across functions to transition prototypes into robust production solutions, and leading technical decisions related to ML architecture.

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What qualifications are needed to become a Senior Machine Learning Engineer at Mitek?

To qualify for the Senior Machine Learning Engineer position at Mitek, candidates should have a Bachelor's degree in Computer Science or a related technical field, along with 5+ years of experience in software engineering, computer vision, and machine learning. Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch is also essential, along with experience in leading projects and communicating cross-functionally.

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Does Mitek offer remote work for the Senior Machine Learning Engineer role?

Yes, Mitek provides flexible work options for the Senior Machine Learning Engineer position. You can choose to work fully remote from anywhere in Spain or from our Barcelona office, enjoying a work environment that fosters innovation and collaboration.

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What technologies will I be working with as a Senior Machine Learning Engineer at Mitek?

As a Senior Machine Learning Engineer at Mitek, you'll have the opportunity to work with cutting-edge technologies including advanced deep learning models, computer vision algorithms, and various tools for ML operations such as Docker, Git, and MLOPS tools like MLflow and ClearML, ensuring that you stay at the forefront of emerging tech.

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What is the expected salary range for the Senior Machine Learning Engineer at Mitek?

The salary range for the Senior Machine Learning Engineer position at Mitek is competitive, typically falling between €60,000 and €70,000 annually. In addition to this, employees can benefit from a range of perks and compensation packages designed to support your financial future and overall wellbeing.

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Common Interview Questions for Senior Machine Learning Engineer (Spain remote)
Can you explain your experience with deep learning frameworks as a Senior Machine Learning Engineer?

In this question, highlight specific projects where you've used deep learning frameworks like TensorFlow or PyTorch. Discuss the models you built, the data you worked with, and how you optimized those models for performance. Relate this experience to the requirements of the position at Mitek to showcase your relevant skills.

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What challenges have you faced in machine learning projects and how did you overcome them?

Share a detailed example of a challenge related to a project, similar to those at Mitek. Explain the problem, the steps you took to address it, and the final outcome. This demonstrates your problem-solving skills and resilience in the face of adversity.

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How do you approach model evaluation and optimization?

Discuss your methodology for evaluating model performance, including metrics you use, such as accuracy or F1 score. Mention specific optimization techniques you've applied and how they've improved your models. Tailoring this to Mitek’s focus on performance and reliability can strengthen your answer.

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Describe a time you led a project as a Senior Machine Learning Engineer.

Provide an example of a project where you assumed a leadership role. Describe your responsibilities, how you collaborated with your team, and the impact of your leadership on the project's success. This shows your capability for mentorship, a key part of the role at Mitek.

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What machine learning concepts do you find most important for facial recognition systems?

You could mention key concepts such as feature extraction, the importance of data quality, deep learning architectures suited for image processing, and transfer learning approaches. Clarify why these concepts are particularly crucial for the work done at Mitek, emphasizing their relevance to enhancing security in biometric applications.

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How do you stay updated with the latest advancements in machine learning and AI?

Explain your methods for continuous learning, such as following leading research journals, attending conferences, or participating in online courses. This communicates your commitment to personal development, which aligns with Mitek’s culture of innovation and learning.

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Can you provide an example of a data-driven algorithm you've developed?

Illustrate a past project where you developed a data-driven algorithm, discussing its purpose, the data inputs, and the results achieved. Relating this back to Mitek's focus on developing robust solutions can strengthen your answer.

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What is your experience with ML Ops tools, and how have you implemented them in past projects?

Discuss specific tools like MLflow or Docker you have used in past projects for model versioning, scaling, or deployment. Highlight how these experiences will be beneficial for managing the ML Ops stack at Mitek.

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Why do you want to work for Mitek as a Senior Machine Learning Engineer?

Articulate your understanding of Mitek's mission in biometric security and how it resonates with your professional goals. Relate your experience in project leadership and machine learning to the innovative work done at Mitek to show your enthusiasm and fit for the role.

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How do you prioritize tasks when working on multiple machine learning projects?

Describe your approach to task management and prioritization, possibly including tools or methodologies you use. Emphasize your organizational skills and how they will enable you to succeed in managing tasks at Mitek effectively.

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Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Performance Bonus
Paid Holidays

To be an indispensable partner in fighting identity fraud for the markets and geographies we target​, empowering customers with trust and convenience in a connected world.

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Full-time, remote
DATE POSTED
March 21, 2025

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