Threat Researcher Jobs
Threat Researcher jobs are open across cybersecurity firms, government contractors, financial services, and technology companies, from entry-level analyst to principal and staff researcher, with specializations in malware analysis, vulnerability research, and threat intelligence. Find a role that fits below and apply directly.
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- PhD or equivalent practical research experience.
- 5 years of experience in a technical leadership role setting direction and guiding project workstreams.
- 5 years of experience in a people management, supervision, or team leadership role.
- 5 years of experience in machine learning, specifically working with LLMs, multimodal foundation models, or RL, along with safety and alignment specialization (e.g., model alignment, AI safety, or post-training techniques like supervised fine-tuning and reward modeling).
- One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.
- 5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.
- 5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goal, and mentoring staff engineers.
- Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
About the job
Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of our flagship image, video, audio, and real-time interactive generative models. Working across safety post-training, runtime guardrails, evaluation, and threat intelligence, we address multi-stage systems whose visual and audio outputs carry high real-world stakes. Our mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight. We are responsible for making sure that Google DeepMind’s generative media models are deployed with the best GenAI safety in the world.As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team of researchers and engineers responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into measurable quantities, and you will ultimately own the quality and trustworthiness of data across the entire GenMedia Safety team. Working collaboratively with peers across post-training, runtime safety, and production monitoring, you will set the strategy and architect the solution that lets us make data-driven decisions across the entire development and deployment life-cycle.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.
- Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.
- Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.
- Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.
- Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- PhD or equivalent practical research experience.
- 5 years of experience in a technical leadership role setting direction and guiding project workstreams.
- 5 years of experience in a people management, supervision, or team leadership role.
- 5 years of experience in machine learning, specifically working with LLMs, multimodal foundation models, or RL, along with safety and alignment specialization (e.g., model alignment, AI safety, or post-training techniques like supervised fine-tuning and reward modeling).
- One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.
- 5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.
- 5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goal, and mentoring staff engineers.
- Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
About the job
Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of our flagship image, video, audio, and real-time interactive generative models. Working across safety post-training, runtime guardrails, evaluation, and threat intelligence, we address multi-stage systems whose visual and audio outputs carry high real-world stakes. Our mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight. We are responsible for making sure that Google DeepMind’s generative media models are deployed with the best GenAI safety in the world.As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team of researchers and engineers responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into measurable quantities, and you will ultimately own the quality and trustworthiness of data across the entire GenMedia Safety team. Working collaboratively with peers across post-training, runtime safety, and production monitoring, you will set the strategy and architect the solution that lets us make data-driven decisions across the entire development and deployment life-cycle.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.
- Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.
- Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.
- Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.
- Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.
Threat Researcher Jobs by Experience Level
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Find Threat Researcher JobsThreat Researcher Job Market
Who's Hiring
Top Industries Hiring
- Cybersecurity
- Technology & Software
What Employers Look For
The qualifications that appear most often in threat researcher jobs.
- Three or more years of experience in threat intelligence, malware analysis, or vulnerability research
- Proficiency with reverse-engineering tools such as IDA Pro, Ghidra, or Binary Ninja
- Hands-on experience with MITRE ATT&CK framework mapping and threat actor tracking
- One or more certifications such as GREM, GCTI, GCFE, or OSCP
- Strong scripting skills in Python for automating analysis and indicator extraction
- Bachelor's degree in computer science, information security, or a related technical field
Tips for Your Threat Researcher Job Search
Tailor your resume to threat types
Hiring managers scan for the specific threat domains you've worked on, whether ransomware, nation-state actors, or zero-days. List the malware families, TTPs, or CVEs you've analyzed rather than describing responsibilities in broad terms.
Publish your research before applying
A blog post, conference talk, or CVE credit does more than a credential alone. Interviewers at research-focused teams consistently reference public work during screenings, so link to anything you've published directly in your resume header.
Apply early to roles that fit
Migrate Mate lists threat researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match certifications to the employer's focus
A GREM signals malware reverse-engineering depth, while an OSCP signals offensive vulnerability work. Read the job description closely and lead with the certification that maps to that team's core activity, not your full list.
Prepare a walk-through of a real investigation
Most threat researcher technical interviews ask you to narrate an investigation start to finish. Rehearse one real case you've worked, covering your initial indicators, the pivot steps you took, and what you concluded. Keep it under ten minutes.
Negotiate using public compensation benchmarks
Threat research is a specialized discipline, and published wage data from the Bureau of Labor Statistics and industry salary surveys give you a defensible reference point when discussing offers. Know the range for your seniority level before the conversation starts.
Threat Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most threat researchers?
Guardz, Palo Alto Networks, and Booz Allen Hamilton are hiring the most threat researchers right now, with openings concentrated in Virginia, California, and District of Columbia, based on current listings on Migrate Mate as of November 2026. Government contractors and large security vendors tend to post the highest volume of roles at any given time.
How many threat researcher jobs are remote?
About 71% of threat researcher openings are fully remote or hybrid as of November 2026, though roles that involve classified work or government clearances are far more likely to require on-site presence. Threat intelligence and malware analysis positions at commercial vendors tend to be the most remote-friendly sub-areas of the discipline.
How do you become a threat researcher?
Start by building a foundation in networking, operating systems, and security fundamentals, then move into hands-on practice with malware sandboxes, capture-the-flag competitions, and home lab reverse-engineering. Earning a certification like GREM or GCTI demonstrates focused depth. Publishing your analysis publicly, whether through a blog or CVE disclosure, signals to employers that you can communicate findings and contribute to the broader research community.
Can you get hired as a threat researcher with little experience?
Yes, some teams hire junior threat researchers who can demonstrate practical skills even without years of professional experience. CTF placements, independent malware write-ups, open-source contributions to threat-intel tooling, and a GitHub repository showing real reverse-engineering work all substitute for a long resume. Targeting roles explicitly labeled junior, associate, or tier-one threat analyst is the most direct path in.
What does the threat researcher interview process look like?
Most processes run three to five stages: an initial recruiter screen, a hiring manager conversation focused on your research background, a technical assessment that often involves a malware sample or simulated investigation, and a final panel with the broader team. Some employers also ask for a written report or a live walk-through of a previous investigation before making an offer.
Where can I find and apply to threat researcher jobs?
You can find and apply to threat researcher jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing. Openings are updated regularly, so checking back frequently gives you the best chance of catching newly posted positions before they fill.
See All 14 Threat Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
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