Senior Machine Learning Engineer

As deepfakes and synthetic identities become mainstream, protecting personal identity has never been more challenging. At Microblink, we’re building the ML foundations to meet that challenge and we’re looking for a Senior Machine Learning Engineer to help lead the way. Machine learning is at the heart of every Microblink product, powering document scanning, face recognition, liveness detection, fraud detection, and more. Our unmatched expertise in running deep learning models on mobile devices allows us to unlock unique user experiences while preserving user privacy.

Years of working on complex ML problems taught us to invest heavily in our teams and infrastructure to enable a real data-driven development process. As a Senior Machine Learning Engineer, you won’t just be training models: you’ll be designing real-world, production-grade systems that safeguard digital identities at scale.

A little bit about us

Microblink is an AI company specializing in computer vision and identity fraud detection. We create unique products and tools designed to make the future of digital identity a secure "no-fake-zone." Our expertise includes running efficient machine learning models directly on-device, enabling a uniquely seamless Identity Verification (IDV) experience. With teams across the US and Europe and main offices in New York and Zagreb, we touch hundreds of millions of users each year, processing over 800 million identity documents across more than 70 countries worldwide. Explore our tech in action here.

ML Engineers at Microblink

With numerous ML models deployed in production, Microblink runs some of the most advanced and widely used computer vision systems in the industry. We invest deeply in infrastructure, automation, and tooling to empower ML teams to move fast and focus on solving meaningful problems. You’ll work in a mature MLOps environment with:

• Dedicated data and annotation teams who deliver high-quality datasets
• Internal tools for scalable training, evaluation, deployment, and monitoring
• A culture of experimentation, high code quality and technical mentorship

This setup allows our machine learning engineers to focus purely on machine learning.  

Here is what you will do: 

• Join a community of like-minded ML enthusiasts who share knowledge and push the field forward
• Design, train, and deploy ML models for real-time document verification and biometrics
• Contribute to model optimization for on-device performance (e.g., quantization, pruning, etc.)
• Drive improvements to our production ML pipelines and model lifecycle processes
• Work closely with experienced software engineers, Product Managers, and UX designers to design new identity verification workflows.
• Work closely with our data annotation and data QA team to define dataset requirements. You’ll have access to unique data sources, and partner with experts in data quality.
• Adopt a hacker mindset: think like an attacker to proactively identify weaknesses and develop ML-powered defenses against fraud and adversarial behavior
• Mentor mid-level and junior team members
• Continuously grow your expertise in ML and software engineering best practices

You'll be successful in this role if you

• Have an excellent understanding of machine learning in the domain of computer vision or text analysis  
• Have at least four years of professional experience as an ML Engineer or equivalent  
• Have strong knowledge and experience in writing sustainable, modular, and efficient code
• Are comfortable reading and implementing the latest research papers when needed.
• Have strong knowledge and experience with Python and essential development tools/technologies such as Git and Docker
• Have a good understanding of one of the machine learning libraries/frameworks, such as TensorFlow or PyTorch
• Keep yourself in the loop with trends in AI
• Strong written and spoken communication skills in English

A plus is if you also have

• Experience with agile methodologies
• Experience in C++ development
• Experience with continuous integration
• Experience with DevOps technologies
• Experience with modern MLOps pipelines and platforms (e.g., ClearML, MLflow, Weights & Biases, or similar)

Here’s what you’ll gain if you join us

• Microblink owes its success to its people. That is why we offer equity participation to all of our full-time employees so that we can grow together
• Unlimited PTO, giving you the flexibility to take time off as needed to maintain a healthy work-life balance.
• Location-specific "Pick & Choose" benefits tailored to meet diverse personal preferences and regional needs.
• Flexible work arrangements, allowing you to adjust your schedule—whether working remotely or at our Zagreb office.
• Opportunities to learn and develop your skills through internal L&D programs, and a supportive working environment.

Microblink LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. This policy applies to all employment practices within our organization, from hiring to the end of your business relationship with us. Accordingly, this job advertisement is equally applicable to all people and Microblink will make a hiring decision based solely on qualifications, merit, and business needs. We prohibit discrimination of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws, as well as our internal policies and culture.

For detailed information on how we process personal data, please read our Privacy Policy https://microblink.com/privacy-policy/ or reach out to our Data Protection Officer at privacy@microblink.com.