Amazon

Applied Science Manager

7 days agoNew York, NY

DESCRIPTION

Amazon Web Services is looking for experienced Applied Science Managers to join the Security Analytics and AI Research Team within AWS Security Services. You would be entrusted with researching and developing state-of-the-art data mining and machine learning algorithms for various AWS security services, such as GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). On this team, you will help guide and lead team of scientists who invent and implement innovative solutions for never-before-solved problems. This is not solely a management role, you will be directly contributing to the research and development while you lead. If you have passion for security and experience with managing scientists, this will be an exciting opportunity.

The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.

Key Responsibilities:
• Lead scientists and engineers on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.
• Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.
• Report results in a scientifically rigorous way.
• Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team puts a high value on work-live balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• PhD in Computer Science, Engineering, Mathematics or a related quantitative field
• 3+ years' experience in managing, mentoring and leading a technical development team including applied scientists and software engineers.
• 5+ years of hands-on experience in predictive modeling and analysis
• 2+ years of algorithm development experience
• Hands-on architectural or system design experience.
• 2+ years of experience with information security, threat detection or related domain

PREFERRED QUALIFICATIONS

• Proven track record of managing science teams, hiring and developing science talent
• Track record of peer reviewed academic publications.
• Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
• 10+ years of relevant experience in industry and/or academia.
• Extensive experience applying theoretical models in an applied environment.
• Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods.
• Strong Experience in Structured Prediction and Dimensionality Reduction.
• Experience with defining organizational research and development practices in an industry setting
• Domain experience with threat detection techniques
• Domain experience with network security, cloud security, systems security, software security, malware analysis or other related areas.
• Track record of developing novel algorithms to help detect stealthy zero-day attacks
• Meets/exceeds Amazon's leadership principles requirements for this role
• Meets/exceeds Amazon's functional/technical depth and complexity for this role
• Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
#ExternalSecurityServices

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

Client-provided location(s): New York, NY, USA
Job ID: Amazon-1321550

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