Machine Learning Engineer at Incode Technologies

Spain

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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

Key technologies and capabilities for this role

Deep LearningComputer VisionFacial RecognitionLiveness DetectionBiometricsMachine LearningDocument Processing

Questions & Answers

Common questions about this position

What experience level is required for the Machine Learning Engineer role?

The role requires 5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.

What key skills are needed for this Machine Learning Engineer position?

Expertise in Python and deep learning is required, along with experience in developing deep learning models for computer vision applications like facial recognition, liveness detection, and document processing.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this Machine Learning Engineer position remote or office-based?

This information is not specified in the job description.

What does the team environment look like at Incode?

You'll join a highly specialized engineering team working on complex real-world challenges with cutting-edge ML architectures, collaborating closely with research, product, and engineering teams, and contributing to a culture of innovation and continuous learning.

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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