Job is more than three months old.
Job Details
Posted date: Aug 08, 2024
There have been 13 jobs posted with the title of Applied Science Manager all time at Amazon.There have been 13 Applied Science Manager jobs posted in the last month.
Location: CA, San Jose
Estimated salary: $225,750
Range: $165,500 - $286,000
Description
Amazon is seeking an exceptional Applied Science Manager to join AGI Info Content team. In this role, you will be at the forefront of developing and enhancing the intelligence of AmazonBot crawler and content processing. The team is a key enabler of Amazon's AGI initiatives such as data pipelines for Olympus model training and collecting data for AGI Info grounding services. Our systems operate on web scale. This requires great combination of innovation to utilize all SOTA ML techniques in combination with model optimization to operate on 100k+ requests/decision per second. 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 and content processing pipelines.
- 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 as well as dive deep into data to select the highest quality data for LLM model training and grounding.
- Conduct in-depth research to stay at the forefront of web acquisition and processing.
- Develop and maintain scalable, fault-tolerant systems to handle the vast scale of Amazon's web crawling operations
- Monitor and analyze 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
Qualifications
- 5+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics
- PhD
- Knowledge of machine learning approaches and algorithms
Extended Qualifications
- Experience building machine learning models or developing algorithms for business application- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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 $165,500/year in our lowest geographic market up to $286,000/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.
Check out other jobs at Amazon.