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Android Malware Reverse Engineer Jobs in New York

Senior AI Engineer

New York, NY · Remote

$150K - $220K/yr

Contribute to multimodal (vision) and mobile (iOS/Android) coverage and BYOK support efforts * Own ... Familiarity with mobile app reverse engineering or binary analysis Pay Range $150 - $220K/year ...

Security Research Internship

New York, NY · On-site +1

$3.0K - $8.0K/mo

We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud ...

We are working on a wide range of security research topics, including malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud ...

Respond to security-related incidents including phishing reports, compromised accounts, malware ... Experience supporting Windows 11, macOS, iOS, and Android platforms. * Working knowledge of ...

Respond to security-related incidents including phishing reports, compromised accounts, malware ... Experience supporting Windows 11, macOS, iOS, and Android platforms. * Working knowledge of ...

Anti-virus/anti-malware solutions (Webroot) * Disaster recovery solutions (On-premise and Cloud ... Android phones Mac OS X Mac OS X Server Group Policies Providing support to end users Managed ...

Anti-virus/anti-malware solutions (Webroot) * Disaster recovery solutions (On-premise and Cloud ... Android phones Mac OS X Mac OS X Server Group Policies Providing support to end users Managed ...

... android/iOS), including the use of industry-standard tools (e.g., Burp Suite, Nmap, Metasploit, etc ... Experience in reverse engineering thick-client and mobile applications to identify vulnerabilities.

Senior Penetration Tester

Manhattan, NY · On-site

$156K - $260K/yr

... android/iOS), including the use of industry-standard tools (e.g., Burp Suite, Nmap, Metasploit, etc ... Experience in reverse engineering thick-client and mobile applications to identify vulnerabilities.

... android/iOS), including the use of industry-standard tools (e.g., Burp Suite, Nmap, Metasploit, etc ... Experience in reverse engineering thick-client and mobile applications to identify vulnerabilities.

Showing results 41-55

Android Malware Reverse Engineer information

What does an Android malware reverse engineer do?

An Android Malware Reverse Engineer analyzes malicious software targeting Android devices to understand how it works, identify its behavior, and develop ways to detect or remove it. They use specialized tools to decompile and inspect code, examine app permissions, and trace network activity. Their findings help improve mobile security, assist law enforcement, and protect users from cyber threats. This role often requires strong programming skills, familiarity with Android internals, and knowledge of cybersecurity techniques.

What are the key skills and qualifications needed to thrive as an Android malware reverse engineer?

To thrive as an Android Malware Reverse Engineer, you need expertise in malware analysis, reverse engineering, programming (Java, Kotlin, C/C++), and strong knowledge of Android OS internals, often supported by a degree in computer science or a related field. Familiarity with tools such as IDA Pro, Ghidra, Android Studio, Wireshark, and mobile security frameworks, as well as certifications like GIAC Reverse Engineering Malware (GREM), is typically required. Analytical thinking, attention to detail, persistence, and effective communication are crucial soft skills for excelling in this role. These skills enable accurate detection, analysis, and mitigation of threats to protect Android devices and users from evolving malware risks.

What are some typical challenges faced by Android malware reverse engineers in their daily work?

Android Malware Reverse Engineers often encounter obfuscated or encrypted code, which makes it challenging to analyze malicious software efficiently. They must stay updated with evolving malware techniques and anti-analysis strategies that threat actors deploy. Collaborating closely with threat intelligence and security operations teams is crucial, as findings often contribute to broader security defenses. The role requires patience, attention to detail, and strong problem-solving skills to effectively dissect and understand complex malware behaviors.

What is the difference between Android Malware Reverse Engineer vs Mobile Security Analyst?

AspectAndroid Malware Reverse EngineerMobile Security Analyst
CredentialsKnowledge of reverse engineering, malware analysis, programming skillsSecurity certifications (e.g., CISSP, CEH), understanding of mobile security
Work EnvironmentResearch labs, cybersecurity firms, or in-house security teamsCorporate security teams, consulting firms, or government agencies
Industry UsageFocus on analyzing malicious Android apps and malwareBroader mobile security issues, including vulnerabilities and threat mitigation
Search & Comparison IntentUnderstanding technical malware analysis rolesBroader mobile security roles and responsibilities

While both roles involve mobile security, the Android Malware Reverse Engineer specializes in dissecting malicious Android applications to understand and mitigate threats. The Mobile Security Analyst has a broader focus on overall mobile security strategies, including vulnerability assessments and threat management across platforms.

What are popular job titles related to Android Malware Reverse Engineer jobs in New York?

For Android Malware Reverse Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Android Malware Reverse Engineer jobs in New York look for?

The top searched job categories for Android Malware Reverse Engineer jobs in New York are:

What cities in New York are hiring for Android Malware Reverse Engineer jobs?

Cities in New York with the most Android Malware Reverse Engineer job openings:

Senior AI Engineer

NextDeavor Inc.

New York, NY • Remote

$150K - $220K/yr

Contractor

Posted 28 days ago


Job description

Senior AI Engineer
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Senior AI Engineer

You will help build and advance autonomous offensive security agents and the models that power them, delivering capabilities that improve exploit chaining, multimodal vision, mobile coverage, and customer-facing accuracy. You will collaborate with engineering and platform stakeholders to ship production-grade systems and run in EST hours as a remote contributor.

Here's How You'll Make an Impact on the Team
  • Design, implement, and iterate on named agents, including orchestration patterns, hand-offs, planning loops, tool use, and shared memory
  • Contribute to model training and fine-tuning across data curation, supervised fine-tuning (SFT), preference optimization (DPO/GRPO/RLHF-style), and evaluation
  • Extend the co-evolutionary self-training (Javelin) loop so the system improves from its engagements
  • Build self-improvement systems (false-positive detection, tiered skill learning, agent directives, code-patch proposals) and pipelines for human approval
  • Design security-specific evaluations covering OWASP Top 10, exploit chaining, finding accuracy, and agent reliability; track performance over model and agent changes
  • Contribute to multimodal (vision) and mobile (iOS/Android) coverage and BYOK support efforts
  • Own production reliability: latency, cost, observability, failure-mode analysis, and Kubernetes-based deployment
  • Improve customer-facing accuracy surfaces and live accuracy gauges exposed to customers
Here's What You'll Need to Be Successful in This Role
  • 5+ years building production ML/AI systems, including at least 2 years working directly on LLMs or LLM-powered agents
  • Deep Python and strong production engineering practices (testing, code review, observability)
  • Hands-on fine-tuning experience: SFT, preference optimization (DPO, GRPO, RLHF/RLAIF), data curation, and synthetic data generation
  • Strong grasp of transformer architectures and training stack (PyTorch, Hugging Face, DeepSpeed or FSDP, accelerate)
  • Experience designing and shipping multi-agent or tool-using LLM systems in production
  • Rigorous evaluation design experience: building harnesses, tracking experiments, and data-driven decision making
  • Inference optimization experience (vLLM, TensorRT-LLM, quantization, throughput/latency tradeoffs)
  • Familiarity with retrieval pipelines, vector stores, and structured memory for agents
  • Kubernetes and containerized deployment fluency
  • Genuine interest in offensive security and the ability to ramp quickly on OWASP Top 10, API/web/mobile pentesting concepts
Here's What Else Might Help You Out
  • Offensive security certifications or experience (OSCP/OSWE/OSWA, CTF, bug bounty, red team)
  • Research publications at top ML/security venues or open source contributions to agent/LLM tooling
  • Experience with adversarial ML or red-teaming AI systems
  • Familiarity with mobile app reverse engineering or binary analysis
Pay Range

$150 - $220K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

Apply with Pioneers here