Senior ML Platform Engineer - Governance & Security, Remote

Lever, Inc.

France

À distance

EUR 90 000 - 140 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Remote work (EMEA)
Ownership of production ML infra
Health and wellness resources
Wellness Fridays
Region-specific benefits
Remote-first collaboration

Résumé du poste

Lever, Inc. is seeking a Machine Learning Engineer (Governance ML Platform) for a fully remote role across the EMEA region. The job focuses on building production-grade ML infrastructure for AI governance and trust, including model serving, evaluation, red-teaming, and monitoring.

You will turn ML research into reliable production systems with low latency, and create feedback loops using telemetry and audit data to improve governance models. Strong emphasis on security and auditable ML ops.

Qualifications

  • 4–7 years of ML software engineering with production ML systems.
  • Experience with ML model serving, low-latency inference, quantization and distillation.
  • Experience designing evaluation pipelines and working with model registries.
  • Experience with red-team or adversarial testing frameworks, CI-gated workflows.
  • Practical experience with model drift monitoring and shadow deployment strategies.
  • Strong SQL skills and PostgreSQL knowledge.

Responsabilités

  • Own the ML infrastructure supporting governance models, including serving and monitoring.
  • Build low-latency model-serving systems for production workloads.
  • Develop and manage model registries and lifecycle infrastructure.
  • Translate research into production with optimizations like quantization/distillation.
  • Build drift-monitoring and shadow-deployment capabilities.
  • Develop telemetry-to-training pipelines from production signals and audit data.
  • Design red-team testing infra, scorecards, regression suites and CI gates.
  • Establish continuous self-improvement workflows for datasets and retraining.
  • Implement safeguarding controls for auditable ML operations.
  • Collaborate across teams to advance AI agent infrastructure and governance.
  • Contribute to a culture of documentation, testing and monitoring.

Connaissances

LLM/agent systems
Low-latency inference
Model evaluation pipelines
PostgreSQL
Security-first mindset
CI/CD workflows
SQL skills
Distributed collaboration

Outils

PostgreSQL extensions (C/Rust)

Description du poste

Lever, Inc. is seeking a Machine Learning Engineer (Governance ML Platform) for a fully remote role across the EMEA region. The job focuses on building production-grade ML infrastructure for AI governance and trust, including model serving, evaluation, red-teaming, and monitoring.

You will turn ML research into reliable production systems with low latency, and create feedback loops using telemetry and audit data to improve governance models. Strong emphasis on security and auditable ML ops.

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