Machine Learning Engineer

Sorry, this job was removed at 12:15 p.m. (CST) on Thursday, Sep 18, 2025
Easy Apply
Be an Early Applicant
Serbia
Software
The Role

POWER A WORLD OF 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

We’re seeking exceptional, Machine Learning Engineering experts to join our specialized teams working on facial recognition, robust liveness detection, and comprehensive ID processing and validation. If you’re passionate about solving complex, real-world challenges with cutting-edge machine learning, we want you on our team.

About the Role

As a senior Machine Learning Engineer at Incode, you will be responsible for designing, developing, and deploying deep learning models that drive our industry-leading products. You will also build robust end-to-end ML pipelines and optimize models for performance and cost efficiency in production environments.

Key Responsibilities

  • Innovate & Optimize: Develop and refine state-of-the-art deep learning models for computer vision
  • Production-Ready Solutions: Architect and maintain scalable ML pipelines, ensuring models are production-ready and cost-efficient
  • Research & Discovery: Immerse yourself in the latest academic and industry breakthroughs, experiment with emerging architectures and algorithms, and transform innovative ideas into practical, production-ready solutions that elevate Incode’s biometric technology
  • Data Mastery: Leverage your expertise in data preprocessing, cleaning, and analysis to enhance model performance
  • Collaborate & Communicate: Integrate ML solutions seamlessly with cross-functional teams, including engineering, product, and research
  • Mentorship & Leadership: Guide teammates and shape a culture of continuous improvement

Your Profile

  • A professional with 5+ years of industrial experience in Deep Learning and Computer Vision
  • Expert in Python and experience with frameworks like PyTorch or TensorFlow
  • Demonstrated expertise in developing, and optimizing models for both performance and cost efficiency, deploying and monitoring ML models in production environments, including experience with edge AI
  • Specialized expertise in at least one of the following areas:
    • Facial recognition: face recognition, age estimation, and facial attributes assessment
    • Liveness Detection: facial authentication, anti-spoofing, anti-deepfake, and other digital attacks defense
    • Document Processing: document analysis, OCR-based extraction, and quality assurance.
    • ID Verification: Biometric data authentication and document integrity validation
  • Proven research acumen: a track record of published research papers or contributions in peer-reviewed venues, skilled at exploring emerging trends in deep learning and computer vision, while translating innovative ideas into practical, production-ready solutions.
  • A clear communicator with a track record of collaborating effectively with diverse, cross-functional teams
  • Passionate about mentoring and developing talent, and equally comfortable with both long-term research projects and fast-paced iterative development

Aspects of our Culture:

  • High performance
  • Freedom & responsibility
  • Context, not control
  • Highly aligned, loosely coupled
  • Continuous Feedback
  • Promotions & Development
  • Learn more about Life at Incode!

Benefits & Perks:

  • Flexible Working Hours & Workplace
  • Open Vacation Policy

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 we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.

Applicant Data Privacy:

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

Similar Jobs

SiGMA World Logo SiGMA World

Machine Learning Engineer

Digital Media • Events • Information Technology • Software
In-Office
Belgrade, Grad Beograd, Centralna Srbija, SRB
349 Employees
5-7 Annually

Recraft Logo Recraft

Machine Learning Engineer

Artificial Intelligence • Software • Design
In-Office or Remote
5 Locations
48 Employees

Provectus Logo Provectus

Machine Learning Engineer

Artificial Intelligence • Information Technology • Consulting
In-Office or Remote
6 Locations
572 Employees
Easy Apply
In-Office
8 Locations
2209 Employees
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
84 Employees
Year Founded: 2015

What We Do

Incode Technologies is an omnichannel biometric identity company that builds secure, top-rated solutions for frictionless banking, healthcare, hospitality, and retail experiences. The company’s end-to-end web and mobile solutions are adopted globally for a variety of applications, including remote account opening & customer onboarding, identity & document verification, and transaction authentication by some of the world’s largest financial institutions, governments, and retailers.

Similar Companies Hiring

Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account