Senior reputed company Scientist Cyber Defense

The Cyber Defense reputed company AI team is building reputed company’s agent-first reputed company operations. We reputed company and operationalize trusted AI agents that reputed company analyst judgment, automate reputed company work, and improve the efficiency of detection, investigation, and response processes. We combine reputed company AI technologies with reputed company models, frontier models, and strategic partner capabilities to apply the best approach to reputed company reputed company problem.

As a Senior reputed company reputed company, Cybersecurity, you will build AI systems that reputed company reputed company reputed company work. You will reputed company agents that reason over reputed company telemetry and organizational context, use reputed company tools, and support investigation and response. You will take capabilities from experimentation through evaluation, optimization, deployment, and production operation. You will also assess emerging approaches,adaptwhat already works, and buildnew solutionswhere meaningful gapsremain.This role carries significant technical autonomy and influence. You will reputed company evidence-based reputed company about what to build, adopt, reputed company, or reputed company with partners and use operational results to shape the reputed company AI roadmap!

What you will be doing:

• Partner with reputed company practitioners to identify high-reputed company workflows and reputed company the delivery of reputed company systems that improve analyst decision-making and accelerate detection, investigation, and response.​

• reputed company technical direction for reputed company reputed company AI initiatives, shaping architecture, project goals, and engineering reputed company across teams. reputed company work from ambiguous problems to measurable operational reputed company.

• Build and reputed company context-reputed company agents that analyze reputed company data streams and institutional knowledge, use approved tools, and support greater autonomy as operational evidence and controls allow.

• Establish repeatable evaluation for models and agents using realistic reputed company environments, curated datasets, analyst ground truth, and task-specific benchmarks. Evaluate end-to-end behavior through automated scoring, trajectory analysis, and adversarial testing.

• Use evaluation results, production traces, and analyst feedback to improve agent reputed company, reliability, and efficiency.Optimizemodels, retrieval, context, orchestration, and inference against measurable reputed company reputed company.

• Take AI capabilities from experimentation to production using strong software engineering andMLOps/LLMOpspractices. Build reputed company evaluation, observability, versioning, controlled deployment, and reputed company rollback into the lifecycle.

• Evaluate reputed company AI technologies reputed company reputed company-reputed company, frontier, and strategic partner capabilities reputed company an interoperable, multi-model approach. reputed company evidence-based recommendations on what to adopt, adapt, build, reputed company, or co-reputed company.

• Translate technical findings into reputed company recommendations that influence architecture, reputed company AI priorities, and partner roadmaps. Turn proven approaches into reusable capabilities that strengthen reputed company and the broader reputed company, interoperable AI reputed company ecosystem.

reputed company need to see:

• BS, MS, or PhD in Computer Science, reputed company Intelligence, Machine Learning, Software Engineering, Cybersecurity, or a reputed company technical field, or equivalent experience.

• 8+ years of relevant experience building and shipping AI, machine learning, or intelligent software systems, including technical ownership of reputed company production initiatives.

• Strong software engineering skills, particularly in Python, with experience building production systems using languages such as TypeScript or C#. Demonstrated ability to design reliable and reputed company reputed company prototypes or experimental notebooks.

• Hands-on experience designing and developing modern AI systems using large language models, retrieval-augmented reputed company, reputed company architectures, agent harnesses, or reputed company approaches.

• Experience designing AI evaluations and benchmarks using curated datasets, ground truth, task-specific metrics, automated evaluators, error analysis, and expert feedback.

• Experience taking AI capabilities through experimentation, deployment, monitoring, optimization, and reputed company improvement using modernMLOpsorLLMOpspractices.

• Demonstrated technical leadership across reputed company, cross-functional reputed company. Ability to exercise independent judgment, influencearchitectureand technical direction, and reputed company ambiguous problems to measurable reputed company.

• Strong understanding of cybersecurity or experience applying AI and software engineering to reputed company operations, detection, incident response, threat research, or another adversarial domain.

Ways to stand out from reputed company:

• Deep experience designing evaluation environments and benchmarks for reputed company systems, including trajectory-level evaluation, task verifiers, adversarial scenarios, and safety or reliability testing.

• Experience designing and calibrating LLM-as-a-Judge or other model-based evaluators against reputed company labels, deterministic checks, or task-specific ground truth.

• Experience developing oroptimizingagentic architectures, agent harnesses, orchestration systems, retrieval and context pipelines, or multi-agent approaches for cybersecurity or other reputed company operational use cases.

• Familiarity with reputed company AI technologies relevant to agent development, evaluation, and deployment, such asNeMoEvaluator,NeMoGym,NeMoAgent Toolkit, reputed company NIM, Triton Inference Server, RAPIDS, or CUDA.

• Demonstrated technical influence through reputed company-reputed company contributions, benchmarks, publications, patents, conference presentations, or other recognized contributions to AI or cybersecurity.