Full-timeRemoteSenior

Machine Learning Engineer

Remote

Full-time

AI/ML Research

About this role

We're seeking a Machine Learning Engineer to advance our antidetect browser's AI-powered features. You'll work on cutting-edge machine learning models for fingerprinting protection, behavior analysis, and automated security detection.

This role involves research, model development, and deployment of ML systems that enhance user privacy and security in web browsing.

What you'll do

Design and implement machine learning models for fingerprinting detection
Develop algorithms for behavior analysis and anomaly detection
Research and implement state-of-the-art ML techniques for privacy protection
Optimize ML models for performance and scalability
Collaborate with security researchers on threat detection
Publish research findings and contribute to the ML community

Qualifications

5+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role.
Strong programming skills in Python and deep learning frameworks such as TensorFlow and/or PyTorch.
Solid understanding of classical machine learning and modern deep learning, including evaluation, regularization, and model selection.
Experience deploying ML models to production and monitoring their performance, drift, and reliability.
Familiarity with GPU-accelerated training (CUDA) and orchestration platforms such as Kubernetes and Docker.
Understanding of privacy, security, and adversarial considerations when building ML-powered systems.
Experience working with large-scale datasets, feature engineering, and data pipelines.
Ability to explain complex models, trade-offs, and findings to non-ML stakeholders.

Job details

Employment type

Full-time

Location

Remote

Department

AI/ML Research

Experience level

Senior (5+ years)

Tech stack

PythonTensorFlowPyTorchCUDAKubernetesDocker

Benefits

• Competitive salary
• Remote work flexibility
• Research budget
• Conference attendance
• Publication opportunities
• Advanced GPU resources

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