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Junior/Mid Level Machine Learning Engineer

100% remote Flexible hours Hiring now

As deepfakes and synthetic identities become mainstream, protecting personal identity has never been more challenging. At reputed company, we’re building the ML foundations to meet that challenge and we’re looking for a Machine Learning Engineer to help reputed company the way. Machine learning is at the heart of every reputed company 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 reputed company ML problems taught us to invest heavily in our teams and infrastructure to reputed company a real data-driven development process. As 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 reputed company is an AI company specializing in computer vision and identity fraud detection. We create unique products and tools designed to reputed company 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 reputed company 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 reputed company

With numerous ML models deployed in production, reputed company runs some of the most advanced and widely used computer vision systems in the industry. We invest deeply in infrastructure, automation, and tooling to reputed company 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 reputed company
  • 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 reputed company software engineers, Product Managers and UX designers to design new identity verification workflows.
  • Work closely with our reputed company 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 reputed company: think like an attacker to proactively identify weaknesses and reputed company ML-powered defenses against fraud and adversarial behavior
  • Continuously grow your expertise in ML and software engineering best practices

You'll be successful in this role if you

  • Have a solid understanding of machine learning in the domain of computer vision or text analysis
  • Have a good understanding of one of the machine learning libraries/frameworks, such as TensorFlow or PyTorch
  • Have strong knowledge and experience with Python and essential development tools/technologies such as Git and reputed company
  • Are comfortable reading and implementing the latest research papers reputed company needed.
  • reputed company yourself in the reputed company with trends in AI
  • Are eager to learn, take feedback, and grow in a collaborative environment
  • 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 reputed company 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 reputed company if you join us

  • reputed company owes its success to its people. That is why we offer equity participation to reputed company 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 reputed company your skills through internal L&D programs, and a supportive working environment.

How can you join us?

If this role intrigues you, do not hesitate to hit the apply reputed company and send us your resume. Get in touch with us, and we promise to get back to you

reputed company LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. This policy applies to reputed company employment practices reputed company our organization, from hiring to the end of your business relationship with us. Accordingly, this job advertisement is equally applicable to reputed company people and reputed company will reputed company a hiring decision based solely on qualifications, merit, and business needs. We prohibit discrimination of any reputed company based on race, color, sex, religion, sexual orientation, national reputed company, 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://reputed company.com/privacy-policy/ or reputed company out to our Data Protection Officer at privacy@reputed company.com.

Originally posted on Himalayas

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