Senior Applied Scientist

Who you are

• PhD, or Master's degree and 6+ years of applied research experience
• Experience leading engineering teams as a mentor or tech lead
• 3+ years of non-internship experience building machine learning models for business applications
• Experience deploying AI/ML models into production systems with direct, verified customer impact
• Non-internship experience of programming and/or scripting to solve real-world problems (e.g., in Python)
• This role requires you to be a national of an EU Member state
• Experience using AI/ML to solve problems in cybersecurity, fraud, or related areas
• Experience building and deploying new GenAI applications
• Experience with large scale distributed systems such as Hadoop, Spark, etc
• Experience with AWS or other cloud services (e.g., SageMaker, Bedrock, EMR, Glue, Lambda, S3, etc.)

What the job involves

• As a Senior Applied Scientist on our team, you’ll analyze data using GenAI and other AI/ML techniques to build new services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure, including advanced persistent threats
• You’ll work with software development engineers, security engineers, and other applied scientists across multiple teams to develop innovative security solutions at a massive scale
• Our services protect the AWS cloud for all customers, helping preserve our customers’ trust in us
• You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!
• A successful candidate is one who is passionate about utilizing big data, machine learning, and GenAI to solve real business problems
• This role gives you the opportunity to lead technical innovation and drive the future direction of automation within threat detection and mitigation
• Candidates are expected to have a track record of delivering high-quality results in a fast-moving environment
• We need someone who’s comfortable mentoring, leading by example, and independently delivering
• We have a team culture that encourages innovation and for every team member to have a high degree of ownership for their program, vision, and execution of ideas
• We’re looking for someone who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers and partner teams
• We want someone who will help us amplify the positive and inclusive team culture we’ve been building
• Design, build, and deploy AI/ML systems that process threat data at scale, running over petabyte-scale security logs with real-time inference
• Conduct thorough data analyses and develop prototypes for detecting otherwise-unknown security problems
• Independently frame ambiguous problems, and then define and deliver a research agenda with limited guidance
• Seek out, develop, and advocate for new technologies to solve scientifically-complex security problems
• Build consensus on scientific approaches, balancing analytic rigor with the operational urgency inherent to security
• Mentor and develop teammates both technically and professionally
• Publish patents and peer-reviewed articles, and present your research both internally and externally
• This team is part of the larger ‘Amazon Active Defense’ organization, focused on bringing automation – at scale – to AWS Security
• Teams within Amazon Active Defense consist of security engineers, data/applied scientists, and software developers, all working together to launch big data analytics able to automatically detect and mitigate threats within AWS in near-real-time
• This team, in particular, is focused on both detecting and automatically stopping advanced actor activities in internal AWS resources