Senior Applied Scientist

3+ months agoPalo Alto, CA


Are you interested in building solutions that harness the power of AI/ML to enable enterprises to improve productivity while reducing errors? Do you want to empower businesses to create smart and efficient processes that unlock enormous customer value? In short, if you are driven by the desire to build a more 'intelligent' world, this role may be a great fit for you.
We are looking for an experienced technical contributor to lead at the forefront of cutting-edge machine learning. If you are passionate about new technology trends in machine learning, cloud services and believe that state-of-the-art product is critical to customer success we would like to talk to you. Every day will bring new and exciting challenges on the job while you:
• Collaborate with internal engineering teams, and partner with leading technology companies around the world
• Contribute in a technical leadership role developing and optimizing backend engines
• Create innovative products, and see them launched in high volume production
As a hands-on scientific leader, you will not only mentor and lead junior scientists but also collaborate with product and engineering leaders to help shape the broader vision for our
services. You will:
• Research algorithms
• Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security
• Use best practices to ensure a high standard of quality for all of the team deliverables
• Prove properties of business-critical software and systems software
• Work in an agile, startup-like development environment, where you are always working on the most important stuff
• Work with the team to help drive business decisions
• Help hire talented team of engineers and enable us to deliver innovative new solutions.
This position within the Machine Learning team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, strong business acumen and judgment, an ability to define visionary, ground breaking products, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

About Us

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. 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.

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.


• M.S or PhD in Electrical Engineering, Computer Science, Math/Stat/Physics or Engineering
• 5+ years of industrial/academic experience in AI/ML
• Proficiency in Python
• Proficiency with ML platforms like TensorFlow, pytorch, mxnet


• PhD in Electrical Engineering or Computer Science
• Experience in automation
• Experience with building cloud services
• Ability to work in a fast paced and agile development environment
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
• Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
• Customer relationship skills including the ability to discover the true requirements underlying feature requests, and recommend alternative technical and business solutions.

Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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

Job ID: Amazon-1474310