Description

We’re working to improve shopping on Amazon using the conversational capabilities of large language models and are searching for pioneers who are passionate about AI and innovation in a fast moving environment. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. Your focus will be in post-training problems and solutions including grounding, fine-tuning and personalization.

Key job responsibilities

As a Sr. Applied Science, you will drive strategic investments in the applied science team while delivering impact in short term iterations. Your focus will be in post-training problems and solutions including grounding, fine-tuning and personalization. You will stay in tune with state of the art and mentor other applied scientists.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience

• Experience with neural deep learning methods and machine learning

• 3+ years of building machine learning models for business application experience

• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

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.

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 Company’s 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 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 $150,400/year in our lowest geographic market up to $260,000/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.