SentinelOne
Cybersecurity
SeniorMachineLearningEngineer
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“Senior Machine Learning Engineer at SentinelOne. Skills: Machine Learning, Data Engineering, Software Engineering, Cybersecurity. Design, build, and maintain scalable data pipelines. Develop and optimize the infrastructure required for training, evaluating, and deploying ML models at scale”
What You'll Achieve.
Drive better, faster, smarter outcomes; Stop malware before it runs; Reduce noise, simplify complexity; Empower security teams to focus on what truly matters
Industry & Context.
Problem-solvers; Solve hard problems; The ability to work on difficult problems independently
What They're Looking For.
Must Have
Experience with collecting and building large datasets for training machine learning models, Producing, deploying and running ML in production environments, Experience working with Big data technologies, such as Spark/Databricks, Hadoop, and others, Ability to work collaboratively to translate business requirements into technical solutions, Willingness and ability to work in a diverse, globally distributed team, The ability to work on difficult problems independently, communication skills, A fiery determination and a team-player mindset
Nice to Have
Experience in the cyber domain - security products, especially detection systems, Cloud infrastructure (AWS) / MLOps experience, Experience working with Infrastructure as code (IaC), AI tooling experience
What You'll Do.
and maintain scalable data pipelines
Develop and optimize the infrastructure required for training
and deploying ML models at scale
Translate research into production-ready detection engines
Build and improve analytics systems that learn from a wide variety of data sources
Ensure the reliability and performance of ML malware detection engines across Windows
and cloud environments
Production experience - good level of coding
How You'll Work.
Team & Collaboration
Work closely with Data Scientists and Software Engineers; Work in a diverse, globally distributed team; Communication with people outside our team (with a wide range of backgrounds/positions, product/support/engineering)
Communication Scope
Communication skills; Communicate with people outside our team (with a wide range of backgrounds/positions, product/support/engineering)
Full Job Description
Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior ML Engineer you will join our Static AI team which develops state-of-the-art ML models that operate on millions of machines worldwide, making sub-second decisions to stop malware before it runs. We bring together cross-functional skill sets, including data science, ML engineering, and software engineering, to research, develop
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