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OPSWAT

Protects critical infrastructure from malware

Machine Learning Team Leader

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedIn-person

About the Job

Requirements

  • Proven experience directly managing or leading technical teams, including conducting one-on-ones, managing performance, and organizing daily workflows.
  • At least 3 years of applied machine learning experience across at least two of text/content classification, computer vision, similarity search/embedding models, malware, or threat detection.
  • Strong proficiency in Python and frameworks such as PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks.
  • A demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts.
  • A solid grounding in statistics and rigorous experiment design.

Responsibilities

  • Lead, mentor, and empower a team of machine learning engineers to own model quality end-to-end, from initial experimentation to a production-ready, handoff-ready artifact for the AI/ML detection portfolio.
  • Conduct regular one-on-ones to foster career development, provide continuous constructive feedback, remove blockers, and ensure the team's overall well-being.
  • Drive the team's execution rhythms by leading task prioritization, sprint planning, and resource allocation to ensure predictable, high-quality delivery.
  • Represent the team's achievements and roadmap to stakeholders, act as the primary technical liaison, and align efforts with Data Science, Development, and Product management teams.
  • Lead model experimentation strategies and prioritize architectural improvements based on measurable detection accuracy gains and business impact.
  • Guide the design, training, fine-tuning, and evaluation of machine learning models across malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification.
  • Define model quality metrics, evaluation datasets, and acceptance criteria; establish strict model release contracts, including versioned, runtime-portable artifacts such as ONNX and performance benchmarks, for the Java-based Aether backend.
  • Ensure all deployed models meet operational constraints across cloud, offline, air-gapped, and embedded deployment tiers.

Desired Qualifications

  • Security machine learning domain experience, such as malware family classification, phishing detection, or URL reputation.
  • Experience with model compression or quantization for offline and embedded environments.

About the Company

OPSWAT

Protects critical infrastructure from malware

OPSWAT provides cybersecurity solutions that protect critical infrastructure from malware and zero-day attacks by focusing on threat prevention and secure data transfer. Its products secure files and devices at all stages—entry, exit, and rest—ensuring secure access and safe data exchange. The company differentiates itself through deep specialization in high-risk sectors like energy, finance, and government, and by achieving widespread trust (notably 98% of U.S. nuclear power facilities) for its compliance-driven approach. Its goal is to help organizations maintain secure, compliant operations and minimize the risk of cyber compromise while keeping systems productive.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$125M
Headquarters
Tampa, FL
Founded
2002

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