Applied Scientist, Softlines Fit, Amazon

Key Skills

Algorithms, C++, Data Mining, Data structuring, Java Programming, Linux Operating system, Optimization, Python Programming, Software Development, Unix Operating system

Job Description

The Softlines Fit team within Amazon Fashion is looking for an Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in Computer Vision, Machine Learning, Generative AI. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.

The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Computer Vision and Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.

Position Responsibilities:

• Draw upon expertise in cutting edge CV/ML (including Deep Neural Networks) and generative AI techniques to devise novel solutions that enhance customer shopping experiences and/or address key customer pain points.

• Participate in the end to end design, development, evaluation, deployment and updating of data-driven CV/ML/genAI models, working closely with Engineering partners to create effective scalable solutions.

• Mentor junior engineers and scientists.

To know more about Amazon science, please visit https://www.amazon.science

Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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

San Jose, CA, USA

BASIC QUALIFICATIONS

• 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 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. Applicants should apply via our internal or external career site.