Research Engineer

• Build AI-powered automation to accelerate detection creation, tuning, and validation at scale
• Analyze cloud, identity, and SaaS data sources such as AWS CloudTrail, Okta, and Entra ID to identify detection opportunities
• Execute authorized attack simulations to validate detection coverage and identify defensive gaps
• Proactively hunt for malicious activity across customer environments
• Investigate security incidents to demonstrate product value, refine detection logic, and deliver actionable findings
• Join customer calls to present analysis results, explain findings, and gather product feedback
• Tune customer detections to reduce false positives and improve accuracy
• Create AI-powered tools that scale investigation and threat-hunting workflows
• Help companies detect and defend against advanced cyber threats using AI-driven defenses

Security Research Engineer

• Analyse, debug, and resolve technical issues across diverse software codebases
• Investigate bugs, implementation failures, incorrect behaviour, and edge cases
• Apply algorithmic reasoning and data-structure knowledge to complex coding problems
• Evaluate solution paths and select appropriate technical approaches
• Design and implement new features and technical enhancements
• Refactor codebases to improve maintainability, clarity, and adaptability
• Optimise code for performance, efficiency, and reliability
• Review implementation decisions and identify architectural or technical improvements
• Produce high-quality, well-structured code that can be tested and evaluated consistently
• Develop and review realistic coding tasks used to evaluate AI model capabilities
• Assess AI-generated code for correctness, completeness, performance, and technical quality
• Identify logic errors, implementation weaknesses, constraint violations, and incomplete solutions
• Validate generated outputs against expected behaviour and objective technical requirements
• Author feedback and annotations supporting AI model training and evaluation
• Document technical decisions, best practices, implementation details, and problem-solving approaches
• Collaborate with technical stakeholders and open-source contributors
• Communicate complex engineering concepts clearly in written and verbal form
• Contribute to knowledge-sharing and consistent technical standards

Research Engineer – Code Generation, Model Evaluation

• Architect self-contained reinforcement-learning environments for complex real-world tasks
• Design reward functions, verifiers, evaluation logic, and supporting environment components
• Structure environments for reliable experimentation and measurable model improvement
• Translate research objectives into rigorous RL workflows
• Ensure environments are reproducible, testable, and suitable for iterative model development
• Design and scale episode pipelines and multi-component training processes
• Build reproducible experimentation workflows for reinforcement-learning research
• Develop systems for running, tracking, and analysing large-scale training experiments
• Improve reliability and efficiency across RL training infrastructure
• Build automated synthetic data-generation systems
• Develop AI-driven evaluation and quality-assurance systems for grading, validation, and feedback
• Establish automated feedback loops to improve training-data and model quality
• Design verification systems that distinguish strong model behaviour from superficially plausible outputs
• Fine-tune and optimise open-source reinforcement-learning and machine-learning models
• Develop benchmarking frameworks measuring capability, robustness, and data quality
• Analyse model behaviour across internal and external evaluation environments
• Contribute to the development, release, and interpretation of research evaluations and benchmark results
• Operate across research experimentation and production-oriented technical implementation
• Adapt research priorities, evaluation systems, and experimentation workflows as project requirements evolve

Research Engineer jobs in New York

Security Research Engineer

Research Engineer – Code Generation, Model Evaluation

Member of Technical Staff, Research Engineering