Sr. Applied Scientist, Amazon (Level 6), Amazon Search

The Amazon Social Search and Explainability team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of shopping experience. By using Social signals and Large Language Models (LLMs), we aim to redefine decision-making in e-commerce by understanding customers' shopping missions, preferences, and goals. Through our technologies, we organize relevant products into meaningful collections, generate valuable insights, and provide explanations into various search missions, ensuring a comprehensive and holistic shopping experience. Our dedication to continuous improvement through constant measurement and enhancement of customer experience is crucial, as we strategically navigate the balance between immediate results and long-term business growth.

We are seeking an Applied Scientist who has strong foundations in Information Retrieval (IR), Natural Language Processing (NLP), and Machine Learning (ML) with a practical mindset. The ideal candidate will have expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to shopping agents. You will take the lead in conceptualizing, building, and launching groundbreaking models that significantly improve our understanding of and capabilities in enhancing the search experience. A successful applicant will display a comprehensive skill set across model development, implementation, and optimization. This includes a strong foundation in data management, software engineering best practices, and a keen awareness of the latest developments in distributed systems technology. We are looking for individuals who are determined, analytically rigorous, passionate about applied sciences, creative, and possess strong logical reasoning abilities.

Join the Social Search and Explainability team, a group of IR/NLP/ML scientists and engineers dedicated to building core infrastructure and models for innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation.

Key job responsibilities

Collaborate with cross-functional teams to identify requirements for model development, focusing on social shopping signals and explanations through state-of-the-art techniques.

Design and implement scalable IR/ML models capable of processing and analyzing large datasets to improve search and shopping experiences. Must have a strong background in IR, NLP, ML or large-scale data mining.

Serve as a technical lead and liaison for specific projects, facilitating collaboration across teams and addressing technical challenges. Requires strong leadership and communication skills, with a PhD in Computer Science or a related field.

BASIC QUALIFICATIONS

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

- PhD, or Master's degree and 6+ years of applied research 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 distributed systems such as Hadoop, Spark etc.

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 $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.

---