Applied Scientist

AWS AI / ML is looking for world class scientists and engineers to work on foundation models large-scale representation learning and distributed learning methods and systems. At AWS AI / ML you will invent implement and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.

Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision natural language processing automatic speech recognition recommendation systems and time series modeling. Developing such models requires not only skillful modeling in individual modalities but also understanding of how to synergistically combine them and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas :

Key job responsibilities

Hardware-informed efficient model architecture training objective and curriculum design

Distributed training accelerated optimization methods

Continual learning multi-task / meta learning

Reasoning interactive learning reinforcement learning

Robustness privacy model watermarking

Model compression distillation pruning sparsification quantization

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 40000 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. Amazons 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 isnt about how many hours you spend at home or at work; its 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 were 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.

• PhD in math / statistics / engineering or other equivalent quantitative discipline
• Experience building machine learning models or developing algorithms for business application
• Have publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java C Python or related language
• Experience in building machine learning models for business application
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country / region youre applying in isnt 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 $136000 / year in our lowest geographic market up to $223400 / 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

Yearly Salary Salary : 136000 - 223400