Senior Researcher, Hybrid AI Security Team Lead

Lenovo

. Lead and develop a multidisciplinary team of engineers and researchers .

Posted 10/10/2026full-timeTel Aviv-Yafo • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML evaluation methodologies, model training, and fine-tuning, with a strong foundation in Python programming. Proven ability to lead technical teams, mentor members, and translate complex findings into actionable insights.

Highest-signal resume keywords

AI/ML Evaluation MethodologiesModel Training and Fine-TuningPython ProgrammingTechnical Team LeadershipAdversarial Machine Learning

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Evaluation FrameworkModel EvaluationAutomated Red TeamingExperiment DesignDataset CreationMetrics AssessmentProduction Software DeliveryAdversarial TestingSafety Fine-TuningInstruction Hardening

Soft Skills

Strong Communication SkillsMentoring

Tools & Technologies

LLMsResearch PlatformsModel Pipeline Integrations

Certifications & Qualifications

BSc in Computer ScienceMSc in Computer Science

Industry Keywords

AI GovernanceScalable Evaluation ServicesAgentic SecurityBenchmark DesignMultimodal Evaluation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead and develop a multidisciplinary team of engineers and researchers
Own the AI Evaluation Framework roadmap, architecture, delivery, and production reliability
Advance evaluation methodologies, adversarial testing, and automated red teaming across models and agentic applications
Translate governance and product requirements into measurable assessments, scoring, and actionable reports
Drive evaluation-to-hardening feedback loops, including training data generation, model fine-tuning, and system prompt improvements
Partner with product and model teams to integrate evaluation and hardening into development and release workflows

Requirements

What you’ll need

7+ years of experience in AI/ML, security research, or software engineering
2+ years leading technical teams
BSc or MSc in computer science or a related field, or equivalent practical experience
Hands-on experience with LLMs, model evaluation, and model training or fine-tuning
Strong Python skills
Experience delivering production software or research platforms
Experience designing experiments, datasets, and metrics to assess model behavior and validate improvements
Ability to own technical roadmaps, mentor team members, and deliver across research and engineering
Strong communication skills and ability to translate complex findings into clear priorities
Preferred: experience with adversarial ML, AI red teaming, prompt injection, jailbreaks, agentic security, LLM-as-judge, benchmark design, automated adversarial testing, multimodal evaluation, adversarial training, safety fine-tuning, preference optimization, instruction hardening, AI governance, scalable evaluation services, model pipeline integrations, or agentic workflow testing

Benefits

Comp & perks

Opportunities for career advancement and personal growth
Access to a diverse range of training programs to sharpen your skills
Performance-based rewards that celebrate your achievements
Hybrid setup: 3 days in the office and 2 days working from home