Job ID: 2823932 | Amazon.com Services LLC
Are you excited about developing generative AI and foundation models to revolutionize automation, text generation, and machine learning at scale? At Amazon BuilderWorks, we are on a mission to build high-performance autonomous systems that perceive and act to improve our world-class builder experience - at Amazon scale.
This role is for the Data Research Org for Insights Development (DROID) Science team, which has deep expertise in developing cutting-edge AI solutions at scale and successfully applying them to business problems in the Stores, Devices, and Other (SDO) organization. These solutions typically utilize machine learning and GenAI techniques, applied to text, sequences of events, wikis, or customer input from existing or new tooling. The team is comprised of scientists, who develop machine learning and deep learning solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.
We are looking for an Applied Scientist with expertise in GenAI. You will work alongside other scientists, engineers, product managers, and various stakeholders to deploy models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying science to real-world problems, this is the team for you.
Key job responsibilitiesYou will be part of a team of scientists and engineers and will work on scaling systems to production alongside partner teams.You will learn how to build robust solutions that operate at Amazon scale and work with senior technical leaders to grow your skills.You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions.You will design and implement scalable solutions and solve complex problems.You will mentor and coach junior software developers.You should be a great communicator and motivated to achieve results in a fast-paced and ambiguous environment.You should be a self-starter with a bias towards independent problem solving. About the teamBuilderWorks tools, libraries, and services empower Amazon builders to deliver solutions for a diversity of internal and external customer use-cases spanning the Stores business as our primary customer with additional support for Devices and Other (SDO) business units across Amazon. The DROID team sits within BuilderWorks and seeks to be the primary source for standardized, actionable metrics and science-driven insights within BuilderWorks. We achieve this through user-focused tools that provide comprehensive access to current and future metrics, solutions that provide measurable impact to cost and engagement through the use of scientific methods, and user-accessible data repositories for individual analyses and deep dives.
DROID Science's mission is to provide measurable impact on customer experience and BuilderWorks efficiencies through the use of scientific methods and processes. We quantify the impact of programs in terms of engagement and cost through data science studies. We own the model framework, where we deliver prospective insights and retrospective measurements of the effect that BuilderWorks programs have on builder experience. We partner with BuilderWorks programs to develop a principled and data-driven methodology for quantifying the impact of programs on SDO.
BASIC QUALIFICATIONS3+ years of building models for business application experience.PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.Experience programming in Java, C++, Python or related language.Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.PREFERRED QUALIFICATIONSExperience using Unix/Linux.Experience in professional software development.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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
Posted: November 9, 2024 (Updated 1 day ago)
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