Description

Amazon is seeking an exceptional Senior Applied Scientist to join our Web Crawling team. In this role, you will be at the forefront of developing and enhancing the intelligence of our web crawler, which is a critical component of Amazon's AI initiatives. Your work will directly impact the quality and efficiency of our data acquisition efforts, ultimately benefiting millions of customers worldwide.

Key job responsibilities

• Design, develop, and implement advanced algorithms and machine learning models to improve the intelligence and effectiveness of our web crawler

• Collaborate with cross-functional teams to identify and prioritize crawling targets, ensuring alignment with business objectives

• Analyze and optimize crawling strategies to maximize coverage, freshness, and quality of acquired data while minimizing operational costs

• Conduct in-depth research to stay at the forefront of web crawling techniques, including deep web exploration, content extraction, and anti-blocking mechanisms

• Develop and maintain scalable, fault-tolerant systems to handle the vast scale of Amazon's web crawling operations

• Monitor and analyze crawler performance metrics, identifying opportunities for improvement and implementing data-driven optimizations

• Mentor and guide junior team members, fostering a culture of innovation and continuous learning

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | Los Angeles, CA, USA | Sunnyvale, CA, USA

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

• Experience in applied research

Preferred Qualifications

• Experience in building machine learning models for business application

• Experience with large scale distributed systems such as Hadoop, Spark etc.

• Experience using managed ML/AI solutions

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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.