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Open nowPosted 13 days ago

Machine Learning Team Leader

Workable (global search)108,016 open roles

Where
Budapest, Hungary
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Your applicationOpen nowMachine Learning Team LeaderWorkable (global search) · Budapest, Hungary

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 13 days ago

Workable (global search) median: 7 days open

The posting

Our client is a global leader in cybersecurity for IT, OT, and ICS critical infrastructure. Their end-to-end platform gives enterprises and public sector organizations the critical advantage they need to protect complex networks, secure devices, and meet compliance requirements.

Over the past 20 years, a consistent commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions worldwide — cementing the company's role in protecting the world's critical infrastructure and securing our way of life.

Lead, mentor, and empower a team of ML Engineers to own model quality end-to-end—from initial experimentation to a production-ready, handoff-able artifact—for AI/ML detection portfolio, spanning MetaDefender Aether (Threat Pattern Correlator, URL Reputation Predictor, Brand Spoofing Detector, and Web Threat Analyzer).

Your Role Will be:

  • People & Performance Management: Conduct regular 1-on-1s to foster career development, provide continuous constructive feedback, remove blockers, and ensure the team's overall well-being
  • Daily Work Organization: Drive the team's execution rhythms by leading task prioritization, sprint planning, and resource allocation to ensure predictable, high-quality delivery
  • Cross-Functional Representation: Champion the team's achievements and roadmap to stakeholders, acting as the primary technical liaison and aligning efforts with Data Science, Development, and Product management teams
  • Technical Roadmap Ownership: Lead model experimentation strategies, prioritizing architectural improvements based on measurable detection accuracy gains and business impact
  • End-to-End Model Development: Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities (malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification)
  • Quality & Release Standards: Define model quality metrics, evaluation datasets, and acceptance criteria. Establish strict model release contracts (versioned, runtime-portable artifacts like ONNX, performance benchmarks) for the Java-based Aether backend
  • Production Readiness: Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers

Requirements

  • Proven experience directly managing or leading technical teams, including conducting 1-on-1s, managing performance, and organizing daily workflows
  • 3+ years applied ML 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 like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks
  • Demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts
  • Solid grounding in statistics and rigorous experiment design

Nice to have

  • Security ML domain experience (malware family classification, phishing detection, URL reputation)
  • Experience with model compression or quantization for offline and embedded environments

Benefits

  • Stable, growing international company background with an exceptional customer group
  • Opportunity to improve your professional skills
  • The newest technology environment
  • Language course and opportunity for active recreation – kettlebell, football and office massage
  • Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
  • Regular team events and Happy Hour activities
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