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Job Details
Posted date: Apr 29, 2025
There have been 16 jobs posted with the title of Applied Science Manager all time at Amazon.There have been 16 Applied Science Manager jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $225,750
Range: $165,500 - $286,000
Description
We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USA
Do you have a passion for GenAI, cybersecurity, and detection engineering?! If so, join us to lead a team building innovative services that protect our cloud from advanced security threats!
You’ll lead a team that uses GenAI (and other AI/ML techniques) to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure, including advanced persistent threats. You’ll manage a mixed-discipline team of data and applied scientists, software development engineers, and security engineers to develop these innovative security solutions at a massive scale. Our services protect the AWS cloud for all customers and help 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 and GenAI to solve real business problems. This role will offer you the opportunity to lead architectural and technical innovation and drive the future direction of detection engineering. We have a team culture that encourages innovation and expects all team members to have a high degree of ownership for their program, vision, and execution of ideas.
We’re looking for a leader who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers and direct reports. We want someone who will help us amplify the positive and inclusive team culture we’ve been building.
Candidates are expected to have a track record of delivering high-quality results in a fast-moving environment. We need someone who’s comfortable building teams, developing talent, delivering results, and leading by example. The team's services operate at a large scale and on critical workloads, so a passion and discipline for operational excellence is key.
Key job responsibilities
- Lead end-to-end applied science projects that have a high degree of ambiguity, scale, and complexity
- Provide technical and science leadership related to using GenAI to enable advanced threat detection and mitigation
- Research and drive new and innovative AI/ML approaches
- Enforce a high bar for operational excellence of the team's services
- Recruit high performing team members, and provide them mentorship and coaching
- Establish team mechanisms, including for team building, project planning, and product development
About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career hasn’t followed a traditional path or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including the cloud.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexibility is part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Qualifications
- 2+ years of scientists or machine learning engineers management experience- Experience building scalable systems that involve predictive models or other applications of machine learning
- PhD, or Master's degree and 5+ years of experience building machine learning models or developing algorithms for business applications
Extended Qualifications
- Experience working with GenAI in enterprise environments- Experience building complex software systems, especially those involving machine learning, that have been successfully delivered to customers
- Knowledge of using machine learning, big data, and/or other software solutions to address security threats and vulnerabilities
- Understanding of security engineering and/or host and network telemetry data (e.g., process lists, application logs, NetFlow)
- Experience partnering with product and/or program management teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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