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Senior Machine Learning Engineer, AI Security
·Israel
HybridFull-timeAI & Machine LearningElectronics ManufacturingEnterprise Software
Join a digital trust and hybrid AI security team building machine-learning guardrails for real-time AI applications. Design models, evaluation frameworks, and end-to-end pipelines for lightweight deployment across edge and cloud environments. The role is hybrid and requires on-site work in Tel Aviv-
Responsibilities
- Design and maintain ML training and fine-tuning pipelines for LLMs and other ML models
- Develop auditable, reproducible fine-tuning workflows with policy enforcement
- Implement ML security controls including data filtering, dataset labeling, and training instrumentation
- Detect and mitigate training-time threats such as poisoning, backdoors, contamination, and leakage
- Integrate security, robustness, and safety evaluation frameworks into build processes
- Collaborate with data scientists and security researchers on secure and responsible AI workflows
- Work with engineers to deploy models across edge devices and cloud environments
Requirements
- At least 5 years of experience as an ML Engineer or Applied ML Engineer
- Strong hands-on Python experience
- Experience with PyTorch, TensorFlow, or JAX
- Hands-on experience training or fine-tuning ML models or LLMs
- Solid understanding of data ingestion, preprocessing, training, evaluation, and serving pipelines
- Familiarity with security and responsible AI concepts, including data integrity, bias, and robustness
Nice to have
- Experience building AI guardrails
- Knowledge of LoRA, QLoRA, PEFT, adapters, or related LLM fine-tuning techniques
- Experience with Hugging Face, LLaMA Factory, or Unsloth
- Knowledge of training-time attacks such as data poisoning, backdoors, or distribution shift
- Experience implementing data scanning, validation, or quality checks in ML pipelines
- Experience integrating security, safety, or responsible AI evaluation into CI/CD or ML pipelines
- Exposure to experiment tracking, versioning, lineage, or secure ML build practices
- Familiarity with governance or compliance-driven ML workflows
- Java, Kotlin, or Rust experience
Benefits
- Health and disability insurance
- Pension or retirement plan
- Meal vouchers
- Employee referral bonus
- Company and product discounts
- Employee assistance program
- Internal e-learning development platform