Senior Manager - ML Solutions Lab, ML Solutions Lab

Key Skills

JavaScript, Ruby on Rails, Java Programming, Python Programming, MongoDB, C++, SQL, AWS, Perl Programming, MATLAB Programming, R Programming, SAS

Job Description

Job summary

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Senior Manager in the ML Solutions Lab team, you'll partner with technology and business teams to build new solutions that delight our customers. You will be responsible for leading a team of ML scientists, engineers and deep learning architects to build and deliver state-of-the-art machine learning solutions to address customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world use cases. You will maintain an active personal engagement in the same kind of work and at the same degree of detail that you expect from your team.

The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem and with end customers. You will be able to drive discussions with senior technical and management personnel within customer and partner organizations. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.

Key job responsibilities

• Interact with customers directly to understand their business problems
• Lead a team of scientists, architects and engineers, oversee development and delivery of ML solutions
• Rapidly design, prototype and develop in a high-ambiguity environment
• Work closely with account teams, science and product engineering teams to drive solution implementation
• Drive new business and product initiatives, championing ideas that move our business forward
• Employ a data driven approach to ensuring the success and outcomes of our ML engagements

About the team

Inclusive Team Culture

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.

Work/Life Balance

Our team puts a high value on work-life 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.

Mentorship & Career Growth

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

• Bachelor's degree in computer science, mathematics/statistics, computer engineering or related technical discipline
• 10+ years of software design and development, machine learning, and/or IT and networking implementation/consulting experience
• 5+ years of technical management experience, including a minimum of 1 year in a technical management role in a customer-facing or consulting organization
• Minimum of 1 year of cloud computing experience using publicly available services
• Minimum of 1 year of experience with machine learning

PREFERRED QUALIFICATIONS

• Master’s degree or PhD in computer science, mathematics/statistics, computer engineering or related technical discipline
• 2+ years machine learning experience
• Experience working with large data sets, databases, and cloud-based storage
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations. Executive speaking and presentation skills including formal presentations, white boarding, large and small group presentations.
• Management experience with small or mid-sized technical teams, and a positive and mentoring management style suitable for hiring and retaining the best talent. Experience hiring and managing a team of top-notch technologists.