Remote Senior ML Engineer: Malware Detection & Security

Jobgether; México; Remote; MXN 1,100,000 - 1,600,000; Full time

Benefits offered by this job

Fully Remote Work

Flexible Working Hours

Paid Vacation: 24 days

Public Holidays: 10 days

Sick Leave: Unlimited

Healthcare Support

Wellness Benefits

Learning Budget

Innovation Rewards

Dedicated GPU Resources

AI Coding Tools

Job summary

Jobgether, on behalf of a partner company, is seeking a Senior ML Engineer - Malware Detection for remote work in Mexico. You will develop and deploy ML solutions to detect web-based malware across large Linux hosting environments, using real-world malware data and advanced modeling techniques.

You will own the ML lifecycle from data to production, collaborating with malware analysts and infrastructure teams, with access to GPU resources and AI-assisted tools.

Qualifications

• Production ML experience including production deployment in adversarial security domains.
• Transformer model training, fine-tuning, and data prep beyond hosted APIs.
• Solid understanding of classical ML methods, feature engineering, and calibration.
• Rigorous evaluation with leakage-free splits by time and malware family.
• Inference and cost optimization for CPU/memory usage and throughput.
• Strong Python, PyTorch, and Hugging Face skills; SQL for large datasets.

Responsibilities

• Lead development, evaluation, and deployment of ML systems to improve malware detection at scale.
• Develop models to classify malware vs benign files and triage samples for detection engines.
• Build AI-assisted tooling for automatic signature generation from campaigns.
• Identify content requiring contextual analysis (phishing, webshells, script injections).
• Improve detection precision and cleanup effectiveness for persistent infections.
• Establish robust evaluation with time-based splits, false-positive controls, and regression tests.
• Optimize throughput, latency, and cost per file for production deployments.
• Move models from experimentation to production with shadow deployments and controlled releases.
• Incorporate analyst feedback and retraining cycles for evolving threats.
• Develop reusable training pipelines and leverage GPU resources.
• Collaborate with analysts, engineers, and infrastructure teams to close detection gaps.
• Document architecture, evaluation methods, and production results; participate in blameless post-mortems.
• Meet milestones: production-data model in first month; multiple models in production/shadow testing by month three.

Skills

Production ML Experience

Transformer Model Expertise

Classical Machine Learning

Rigorous Model Evaluation

Inference and Cost Optimization

Python / PyTorch / Hugging Face

SQL / Data Analysis

Web Tech Familiarity

AI-Assisted Engineering

Written Communication

Analytical and Problem-Solving

Ownership and Collaboration

Tools

ONNX

llama.cpp

vLLM

int8/int4 quantization

ClickHouse

Job description

Jobgether, on behalf of a partner company, is seeking a Senior ML Engineer - Malware Detection for remote work in Mexico. You will develop and deploy ML solutions to detect web-based malware across large Linux hosting environments, using real-world malware data and advanced modeling techniques.

You will own the ML lifecycle from data to production, collaborating with malware analysts and infrastructure teams, with access to GPU resources and AI-assisted tools.