Amazon
Applied Scientist, Amazon Fashion
Amazon, Seattle, Washington, us, 98127
Job ID: 2736273 | Amazon.com Services LLCAre you passionate about solving unique customer-facing problems at Amazon scale? Are you excited by developing and productizing machine learning and deep learning algorithms while leveraging vast amounts of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diverse group of engineers, machine learning scientists, product managers, and user-experience designers? If so, you have found the right match!
If your skills, experience, and qualifications match those in this job overview, do not delay your application.
Fashion is extremely fast-moving, visual, and subjective, presenting numerous unique problem domains such as product recommendations, product discovery, and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for fashion customers by providing large selections, inspiring and accurate recommendations, and an exceptional customer experience.
The mission of the Fit Science team, as part of Fashion Tech, is to innovate and develop scalable ML solutions to provide personalized fit and size recommendations when Amazon Fashion customers evaluate apparel or shoes online. The team is hiring an Applied Scientist who has a solid background in applied Machine Learning and a proven record of solving customer-facing problems via scalable ML solutions, and is motivated to grow professionally as an ML scientist.
Key job responsibilities- Tackle ambiguous problems in Machine Learning and drive full life-cycle ML and GenAI projects.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.- Run A/B experiments, gather data, and perform statistical tests.- Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation, and serving.- Work closely with software engineers and product managers to assist in productizing your ML models.BASIC QUALIFICATIONS - PhD or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.- Experience programming in Java, C++, Python, or a related language.- Experience building machine learning models or developing algorithms for business applications.PREFERRED QUALIFICATIONS - Experience 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.
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If your skills, experience, and qualifications match those in this job overview, do not delay your application.
Fashion is extremely fast-moving, visual, and subjective, presenting numerous unique problem domains such as product recommendations, product discovery, and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for fashion customers by providing large selections, inspiring and accurate recommendations, and an exceptional customer experience.
The mission of the Fit Science team, as part of Fashion Tech, is to innovate and develop scalable ML solutions to provide personalized fit and size recommendations when Amazon Fashion customers evaluate apparel or shoes online. The team is hiring an Applied Scientist who has a solid background in applied Machine Learning and a proven record of solving customer-facing problems via scalable ML solutions, and is motivated to grow professionally as an ML scientist.
Key job responsibilities- Tackle ambiguous problems in Machine Learning and drive full life-cycle ML and GenAI projects.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.- Run A/B experiments, gather data, and perform statistical tests.- Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation, and serving.- Work closely with software engineers and product managers to assist in productizing your ML models.BASIC QUALIFICATIONS - PhD or Master's degree and 4+ years of experience in CS, CE, ML, or a related field.- Experience programming in Java, C++, Python, or a related language.- Experience building machine learning models or developing algorithms for business applications.PREFERRED QUALIFICATIONS - Experience 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.
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