Senior Machine Learning Engineer
hace 1 día
Incode is a leading provider of world-class identity solutions that is revolutionizing the way humans authenticate and verify their identities online. Our cutting-edge solutions are designed to power a world of digital trust, reducing fraud and transforming human interactions with data, products, and services.
The OpportunityWe're seeking innovative and well-rounded Senior Machine Learning engineers to join our team in Serbia (Belgrade) or Spain (Madrid). As part of our team, you'll be pivotal in shaping and implementing cutting-edge machine learning components, spanning development and infrastructure domains.
Key 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.
- 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.
- 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.).
- Values are what we value.
- High performance.
- Freedom & responsibility.
- Context, not control.
- Highly aligned, loosely coupled.
- Continuous Feedback.
- Pay Top of Market.
- Promotions & Development.
- Benefits & Perks:
- Meaningful Equity.
- Flexible Working Hours & Workplace.
- Open Vacation Policy.
- Wellness Program.
- International Travel Opportunities.
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