Research Engineer - Cybersecurity (RL Environments)
Mistral.ai
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298 open cybersecurity roles across 64 companies are on ApplySarthi right now, most of them in Delhi NCR (8), Chennai (5), Mumbai (4).
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Remote Research Engineer jobs · C++ jobs · CI/CD jobs · Docker jobs · Kubernetes jobs
Mistral.ai has 8 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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298 open cybersecurity roles are hiring right now across 64 companies, mostly in Delhi NCR — so the questions repeat. Practise them before you sit with Mistral.ai.
Questions you are likely to be asked
- Why do you want to join Mistral.ai?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- How do you decide what to monitor, and what should wake someone up at night?
- How would you cut the cloud bill of a system without hurting it?
- How do you keep secrets and access safe in your infrastructure?
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Practise the Research Engineer - Cybersecurity (RL Environments) at Mistral.ai interview free →About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Cybersecurity is one of the areas where AI could do the most good — and one where the capability must be built with particular care. As a Research Engineer on this track, you'll push our models' capabilities in vulnerability discovery and remediation, security analysis, incident response , and across the offensive-to-defensive spectrum of cybersecurity, and it will be your job to develop that ability deliberately and safely. The work sits at the meeting point of research and engineering: you'll devise new approaches and be the one to implement them. Concretely, that means designing and building RL environments that reproduce realistic security scenarios, pipelines that generate synthetic training instances at scale , and experiments and evaluations that show what our models can actually do. Your results feed directly into the production training runs that shape our frontier models, in close collaboration with Mistral's researchers, engineers, and security specialists. Security specialists and ML engineers are both welcome here — what matters is that you can hold your own in both worlds, and are eager to go deeper on the one you know less. What You Will Do Design and implement RL environments simulating cybersecurity scenarios. Build the pipelines and infrastructure that generate synthetic cybersecurity training instances at scale — thousands of scenarios, not one hand-crafted exercise. Conduct experiments and evaluations of model capabilities on these environments, from quick prototypes to controlled benchmark runs. Own the infrastructure behind the environments: containers, sandboxes, VMs, cloud deployments, and orchestration (Kubernetes) , all managed as code. Partner with researchers and security specialists across Mistral, distilling their domain expertise into reproducible environments and datasets. Write clear, efficient code in Python and enforce strong software-design practices: testing, code review, CI/CD. What We're Looking For Hands-on expertise in offensive and/or defensive cybersecurity : vulnerability analysis, web/network/cloud security, secure coding practices, and SOC. Strong software engineering skills : clean, reliable, well-tested code — not just exploit scripts. Fluency in Python plus comfort reading lower-level languages (C/C++) for vulnerability analysis. DevOps experience : Docker, Kubernetes, cloud deployments, sandboxed or simulated environments. A pragmatic research-to-engineering mindset: ship a working first version, then refine and scale it. Working knowledge of RL techniques and LLM training methodologies , or strong motivation to develop it. Self-starter, low-ego, collaborative — comfortable working across research and engineering. Nice-to-haves CTF, cyber-range, or bug-bounty experience — as a player, challenge author, or platform builder. A research background in cybersecurity, academic or industrial, or in another experimental discipline. Prior experience building RL environments or large-scale ML training infrastructure. Relevant open-source contributions and projects. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in France on Arbeitnow
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