cyberette.ai

Data Scientist – Computer Vision 

About Cyberette 
Cyberette is an AI-native cybersecurity startup developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era. 

About the Role 
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform. 

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact. 

Key Responsibilities 

• Develop, train, and deploy computer vision models for image and video manipulation detection. 
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques. 
• Preprocess, clean, and manage large-scale datasets for training and evaluation. 
• Optimize model accuracy, latency, and scalability for enterprise-grade performance. 
• Contribute to the design of the model evaluation framework and internal benchmarking tools. 
• Collaborate with other engineers and researchers to integrate models into production pipelines. 
• Document methodologies, experiments, and findings clearly and systematically. 

Requirements 

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field. 
• Strong experience in computer vision (CNNs, Transformers, multimodal models). 
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).  
• Solid understanding of ML ops, dataset curation, and model evaluation.  
• Proven experience building and training models from scratch.  
• Excellent analytical and problem-solving skills.  
• Self-driven, disciplined, and collaborative mindset.  

What We Value 
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here. Neurodivergent friendly. 

Bonus Skills 

• Experience with audio or multimodal analysis. 
• Knowledge of adversarial attacks or deepfake generation methods. 
• Experience in real-time inference or edge deployment. 

Full-Stack Developer

About the Role
We are looking for an experienced full-stack developer to start with a project-based engagement, with the possibility of moving into a full-time position after successful collaboration.

You will build and maintain systems that connect our AI models, data pipelines, and user interfaces. The ideal candidate is capable of working independently and delivering production-ready solutions.

A key requirement is the ability to integrate Stripe from scratch independently, including building secure payment flows and backend integration.

Key Responsibilities

• Develop and maintain front-end and back-end architecture
• Build and document APIs and integrations
• Collaborate with the AI team to integrate and deploy models
• Implement Stripe payment integration from the ground up
• Ensure system performance, stability, and scalability
• Write clean, well-structured, and testable code

Requirements

• Strong experience with Python and JavaScript
• Experience with REST APIs, Azure SQL, and Microsoft Azure
• Proven experience integrating Stripe or similar payment systems
• Understanding of CI/CD, containerization, and version control
• Ability to work independently and take ownership of tasks
• Strong attention to detail and high coding standards

Data Scientist - Senior - Computer vision
 

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.

UX/UI Design Intern in AI/Cybersecurity Start-up
Location: Remote
Duration: 6 months

Overview
Join a product-focused environment and contribute to designing a live digital product through collaboration, ideation, and execution. The internship is unpaid and cannot be less than the stated period. There is a possibility of joining the team full-time after the successful internship. 

Responsibilities
• Collaborate on product ideas, flows, and features
• Design and refine UI in Figma using existing systems and style guides
• Build and organise components, variants, and reusable assets
• Create wireframes, high-fidelity screens, and interactive prototypes
• Document flows and design decisions
• Ensure consistency across screens and states
• Iterate based on feedback and basic testing

Requirements
• Strong Figma skills
• Solid understanding of UX/UI principles (including Gestalt)
• Familiarity with design thinking, iteration, and testing
• Strong attention to detail and ability to follow structured systems
• Previous design experience (academic, freelance, or professional)

What You Gain
• Hands-on experience working on a real product in active development
• Exposure to full design cycles, from ideation to iteration
• Practical experience with design systems and scalable, global UI
• Direct collaboration within a startup environment (fast execution, real constraints, cross-functional work)
• Structured feedback and mentorship throughout the internship
• Insight into how product, design, and engineering align in real workflows

Note: Work is conducted under NDA and cannot be publicly shared

Data Scientist – Computer Vision 

About Cyberette 
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era. 

About the Role 
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform. 

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact. 

Key Responsibilities 

• Develop, train, and deploy computer vision models for image and video manipulation detection. 
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques. 
• Preprocess, clean, and manage large-scale datasets for training and evaluation. 
• Optimize model accuracy, latency, and scalability for enterprise-grade performance. 
• Contribute to the design of the model evaluation framework and internal benchmarking tools. 
• Collaborate with other engineers and researchers to integrate models into production pipelines. 
• Document methodologies, experiments, and findings clearly and systematically. 

Requirements 

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field. 
• Strong experience in computer vision (CNNs, Transformers, multimodal models). 
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).  
• Solid understanding of ML ops, dataset curation, and model evaluation.  
• Proven experience building and training models from scratch.  
• Excellent analytical and problem-solving skills.  
• Self-driven, disciplined, and collaborative mindset.  

What We Value 
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here. 

Bonus Skills 

• Experience with audio or multimodal analysis. 
• Knowledge of adversarial attacks or deepfake generation methods. 
• Experience in real-time inference or edge deployment. 

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

We value ownership, fast responses, and a goal-oriented mindset. Our environment is collaborative and fast-moving, and we appreciate people who communicate proactively, take initiative, and focus on delivering meaningful results.

 

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.