Senior Machine Learning Engineer

REIMAGINE TRUST

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming and more, by reducing fraud and transforming human interactions with data, products, and services.

We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

The Opportunity

Incode is searching for innovative, well-rounded Senior Machine Learning engineers to join our team in Serbia (Belgrade) or Spain (Madrid).

We're dedicated to crafting top-tier solutions for document analysis, risk assessment, and face liveness. As part of our team, you'll be pivotal in shaping and implementing cutting-edge machine learning components, spanning development and infrastructure domains. You'll also Implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability. Join us in a dynamic environment alongside seasoned, industrious professionals, fostering a culture of collaboration and innovation.

Major responsibilities:

Develop innovative ML solutions for challenging business problems that are fundamental for Incode

Partner with product teams to analyze key business problems

Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end

Deliver enduring value in terms of software and modeling artifacts

Requirements:

5+ years of experience in Deep Learning and Computer vision

Worked on several comprehensive industry-level projects

Fluency in Python

Comprehensive knowledge in PyTorch or Tensorflow

Creativity and curiosity for solving highly complex problems

Fluent in English

Desirable skills / Qualifications (Not a must):

Experience in face recognition and anti-spoofing, facial expression analysis, 3D face modeling or reconstruction, and background analysis (removal, classification).

Experience in applying machine learning & computer vision to resource constrained devices

Experience with Transformers, LVMs, LLMs, multimodal models on a research and production level

Papers in top-tier journals in Computer vision and Deep learning (CVPR, ICLR, NeurIPS, etc.)

8 Aspects of our Culture:

Values are what we value

High performance

Freedom & responsibility

Context, not control

Highly aligned, loosely coupled

Continuous Feedback

Pay Top of Market

Promotions & Development

Learn more about Life at Incode!

Benefits & Perks:

Meaningful Equity

Flexible Working Hours & Workplace

Open Vacation Policy

Wellness Program

International Travel Opportunities

Additional benefit package according to location (401k, medical insurance, etc.)

Equal Opportunities:

Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team and are always on the lookout for talented, passionate people from all backgrounds and walks of life.

Applicant Data Privacy:

We will only use your personal information in connection with Incode’s application, recruitment, and hiring processes.