Incode Technologies

Machine Learning Engineer

Spain

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Financial ServicesIndustries

Requirements

Candidates should possess 5+ years of experience in Deep Learning and Computer Vision, fluency in Python, and comprehensive knowledge in either PyTorch or TensorFlow. They should have worked on several industry-level projects and demonstrate creativity and curiosity for solving complex problems, along with fluency in English.

Responsibilities

The Machine Learning Engineer will develop innovative ML solutions for challenging business problems, 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, and deliver enduring value in terms of software and modeling artifacts. They will also implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability.

Skills

Deep Learning
Computer Vision
Python
PyTorch
Tensorflow
Problem-Solving

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.

Key Metrics

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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