Machine Learning Engineer at Incode Technologies

Spain

Incode Technologies Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Government, Retail, Hospitality, GamingIndustries

Requirements

  • 5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision
  • Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow
  • Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI)
  • Specialized expertise in at least one of the following areas: Facial Recognition (face recognition, age estimation, facial attributes analysis), Liveness Detection (facial authentication, anti-spoofing, and anti-deepfake defense), Document Processing (OCR-based extraction, document analysis, and quality assurance), ID Verification (biometric data authentication and document integrity validation)
  • Proven ability to design and maintain end-to-end ML pipelines
  • Track record of research contributions or publications in deep learning and computer vision
  • Excellent communication and collaboration skills across cross-functional teams
  • Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles

Responsibilities

  • Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation
  • Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models
  • Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions
  • Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows
  • Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment
  • Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning

Skills

Deep Learning
Computer Vision
Facial Recognition
Liveness Detection
Biometrics
Machine Learning
Document Processing

Incode Technologies

Identity verification and authentication platform

About Incode Technologies

Incode provides an identity verification and authentication platform that helps businesses identify legitimate users and prevent fraud. The platform uses an AI-driven, fully automated system to offer quick and seamless verification for genuine users, while also providing tools to re-engage customers and boost conversions. Incode's technology includes advanced features like deepfake detection and deterministic identity checks, making it effective against sophisticated fraud attempts. Their Verify solution is designed for enterprises to manage customer verifications throughout the user journey, while Incode Workforce uses facial biometrics for employee authentication to safeguard critical interactions. Additionally, Incode Age Assurance assists companies in adhering to age-related regulations. The goal of Incode is to enable businesses to achieve their security and compliance objectives, allowing them to concentrate on growth.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$250.1MTotal Funding
SERIES_BCompany Stage
Government & Public Sector, Cybersecurity, AI & Machine LearningIndustries
201-500Employees

Benefits

Meaningful Equity
Flexible Work Hours
Unlimited Paid Time Off
Wellness Program
401(k) Retirement Plan

Risks

Emerging startups in biometric identity verification could erode Incode's market share.
Rapid advancement of deepfake technology threatens Incode's facial recognition systems.
Privacy concerns and regulatory scrutiny could impact Incode's operations and compliance costs.

Differentiation

Incode is a leader in enterprise-grade facial recognition, recognized by the US Government.
Incode's AI-first, fully automated system offers low friction and instant verification.
Incode's Verify solution provides comprehensive customer verifications from account creation to ongoing authentications.

Upsides

Incode's acquisition of MetaMap enhances its identity verification services and market share.
Partnership with Okta positions Incode as a leader in innovative security solutions.
Recognition by NIST boosts Incode's credibility in age estimation and verification.

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