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As a Security Researcher you will focus on simulating our most advanced adversaries against our data collection products affecting thousands of customers.

You will acquire significant knowledge of the web application security field, building new machine learning data collection methods and helping to scale the Bright Data collection platform to new levels as our customer base continues to grow.



Why You'll Love It:

You'll be reversing some of the best anti-bot systems on the planet - it doesn't get more cutting-edge than this.
You'll have a real say in the projects you're part of - this isn't a "just execute" kind of role.
You can actively shape the way this team works - it's still being built, and your fingerprints will be on it.
Got an idea? You can take it straight to the COO - no red tape, no politics.
The people make it - SecRes and Bright Data are genuinely great teams to be part of.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Security Researcher at Blockaid, you will be responsible for leading in-depth research into emerging blockchain threats and vulnerabilities and developing real-time detection and mitigation capabilities in close collaboration with our engineering and product teams.
Key Responsibilities:
Conduct in-depth security research on blockchain protocols, smart contracts, and decentralized applications.
Identify and analyze security vulnerabilities, exploits, and attack vectors in Web3 protocols.
Collaborate with the engineering team to integrate detection capabilities into our on-chain exploit detection system.
Create proof-of-concept (PoC) exploits and simulations to help test and validate threat scenarios.
Stay current with emerging threats, new technologies, and industry best practices in information security..

we are seeking a highly skilled, resilient, and technical Child Safety Researcher to join our team. In this role, you will be on the front lines of investigating complex online child safety violations, handling sensitive content reviews, and developing technical automations to scale our policy and enforcement operations.
This is a high-impact, multi-faceted position that requires blending deep domain expertise in child safety with hands-on scripting and data engineering skills to transform raw queue data into actionable signals and automated review processes.
Key Responsibilities
Investigate & Evaluate Complex Cases: Review, validate, and adjudicate high-risk, graphic, and sensitive child safety content, navigating nuanced contexts involving legal, medical, or parental scenarios.
Extract Signals & Insights: Analyze review queues, large datasets, and user-generated content to identify new adversarial shifts, unknown unknowns, and critical keywords that inform policy updates.
Build Local Automations & Scripts: Design, write, and maintain scripts and local tools to automate review workflows, generate suggestions, and increase overall queue efficiency.
Policy & Enforcement Collaboration: Translate raw investigation findings into structured intelligence reports and actionable recommendations for client policy frameworks and engineering teams.
Quality & Model Support: Partner with product and AI teams to label golden datasets, support ML-based labeling QA, and improve automated detection models.

we are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development.
The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends.
We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

we are looking for an Android Security Research Team Leader to manage a team of super-talented malware researchers and reverse engineers. Our teams help top-level companies improve their security mechanisms using our insights on the latest malware trends, adversarial shifts, and new techniques. Combining intelligence, sophisticated forensics, and data science helps us catch the most relevant and up-to-date threats and threat actors.
What will you do?
Lead and mentor a team of security researchers across multiple projects
Own long-term malware and security research of a variety of Android frameworks, technologies, and domains
Detect large-scale malware campaigns and help bring their operations down
Review and enhance your team's research reports and code
Collaborate with other teams throughout the organization
This role is a management position with 40% hands-on technical work
Find the bad guys - take them down.

we are seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape.
The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis.
Key Responsibilities:
Conduct in-depth Android malware research and reverse engineering
Detect and document emerging Android malware trends and attack vectors
Analyze Android applications for malicious behavior
Write detection rules and develop automation processes for Android malware identification
Collaborate with team members and share knowledge across departments
Perform static and dynamic analysis of Android malware samples
Document findings and contribute to threat intelligence reports.

We are seeking a talented Penetration Tester & Researcher to lead complex offensive security engagements and groundbreaking research. You will execute sophisticated attack simulations, identify high-value vulnerabilities, and collaborate with clients to enhance their security posture.
This role offers a balance between hands-on technical assessments and original research that shapes the broader cybersecurity community.
Roles and Responsibilities:
Conduct advanced penetration tests across web, mobile, and thick-client applications.
Contribute to internal tools, scripts, and methodologies that enhance efficiency.
Design and simulate real-world attack chains reflecting modern threat actors.
Perform vulnerability research, exploit development, and threat modeling.
Research, develop, and implement offensive security methodologies utilizing AI technologies.
Produce detailed technical reports with actionable remediation strategies.
Collaborate directly with clients to guide mitigation and improve resilience.
Publish research, present findings, and represent Pentera at conferences or in public forums.

we are looking for a SecOps Detection & Response.
As a Security Operations Analyst, Detection & Response, you will help protect Aidocs cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring.

This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization respond quickly and effectively to security events.

You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of clinical AI platform.
Responsibilities:
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.

. We are looking for an experienced malware researcher to join the team. As a Malware Researcher , you will perform research on source code, compiled code, and various software supply chain attacks. The position requires proven experience in security nomenclature and an understanding of both high-level and low-level attack
As a Malware Researcher you will...
Research malicious code in public repositories from various coding languages and technologies.
Define and implement ways to automatically detect malicious code in open-source software.
Write technical reports and outward-facing publications regarding all research subjects mentioned above.

we are building an AI-powered reverse engineering agent. As a Security Researcher, youll help shape how the system understands real-world binaries, by reversing complex targets, finding where automation breaks, and turning that insight into product capabilities.
This is a hands-on research role with direct product impact: your work will influence accuracy, explainability, and trust in the results we deliver to security teams.
What Youll Do
Reverse engineer complex binaries and large real-world codebases
Analyze malware samples and vulnerability-relevant behavior (as needed)
Identify edge cases and failure modes in decompilers and reversing workflows
Work closely with engineering to translate findings into robust product features
Validate accuracy and explainability of analysis outputs across diverse targets.

Were looking for a Security Researcher to join our Research team and drive cybersecurity research at the intersection of Product Security and AI. You'll investigate security risks in modern software development, including AI-assisted and agentic workflows, and translate research into product capabilities, customer guidance, and industry insights.

Join our company, a stealth-mode cybersecurity startup building the next generation of Vulnerability Management and Exposure Management.
Were looking for a Senior AI Researcher (Cyber Security) to join our founding team and build AI-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
In this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade AI systems that turn messy, complex information into clear, actionable insights.
Own the end-to-end AI lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. Validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
If you love combining real security problems with applied data science and AI driven problem solving, and want to have real impact in a rapidly evolving product - wed love to meet you.

we are looking for a Security Researcher.
As a Senior Security Researcher, you will bridge our core research initiatives at the intersection of proactive exposure management, agentic workflows, and scalable threat modeling. We are looking for an innovator who translates complex security data into product-driven features, taking full ownership from concept to production.
What You'll Do:
Drive Product-Led Research: Translate complex, real-world security challenges into actionable, product-driven research. Take full ownership of research projects end-to-end, from identifying the security gap to collaborating with engineering to ship platform features.
Drive Proactive Exposure Management: Leverage Automated Security Control Assessments (ASCA) alongside vulnerability evaluation and prioritization to holistically assess organizational risk. Deep dive into enterprise security tools (EDR, SIEM, Firewalls, IAM, etc.) to analyze configurations, map defensive capabilities, and continuously evaluate their effectiveness against real-world threats.
Build Security Tool Integrations: Drive the technical research and define the data models required to actually build deep, functional integrations into diverse security platforms, ensuring the accurate extraction of telemetry, policies, and configuration data.
Build AI & Agentic Workflows: Define, design, and implement the logic and knowledge base that feeds Nagomi's AI-powered agents, ensuring they deliver accurate, context-aware security guidance and automated risk assessments.
Map Attack Paths: Define realistic attack flows, identify toxic combinations of misconfigurations, and surface the security gaps that help customers prioritize the risks that actually matter.
Engage with Customers: Work directly with customers to help them understand their exposure, translate your research findings into meaningful posture improvements, and gather feedback to drive product innovation.
Cross-Functional Collaboration: Partner closely with product, engineering, and data teams to embed security insights into everything we build.

We're looking for an AI Security Researcher to join us and uncover emerging AI threats, derive detection logic, discover new attack vectors, conduct red teaming, and identify insider threats and misconfigurations.
What You'll Do:
Deep-dive into AI usage risks, including threat detection for chat platforms and AI agents.
Research emerging agent threats and LLM attacks, such as jailbreaks and prompt injection.
Conduct red teaming and large-scale experiments on AI agents, including quantitative experimentation and advanced result analysis.
Assess internal and externally-facing AI agents for security posture and risk exposure.
Evaluate and attack real-time defenses and runtime protections for AI applications.
Conduct research across cloud, web, and API security to uncover novel threats and attack vectors relevant to AI systems.
Partner with product and engineering teams to turn research findings into detection logic, guardrails, or product features.
Stay current on and contribute to industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) - potentially contributing back to the community.
Publish blog posts, give talks, and represent research at conferences.

we are looking for a Lead Security Researcher.
You will lead security research. This is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.
You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.
You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.