Job Description

Locations

• United States, NY, New York, New York, NY, United States

Salary

Skills Required

• - 5+ years of building machine learning models for business application experienceintermediate
• - PhD, or Master's degree and 8+ years of applied research experienceintermediate
• - Experience programming in Java, C++, Python or related languageintermediate
• - Experience with neural deep learning methods and machine learningintermediate

Required Qualifications

• - 5+ years of building machine learning models for business application experience (experience, 5 years)
• - PhD, or Master's degree and 8+ years of applied research experience (experience, 8 years)
• - Experience programming in Java, C++, Python or related language (experience)
• - Experience with neural deep learning methods and machine learning (experience)

Preferred Qualifications

• - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. (experience)
• - Experience with large scale distributed systems such as Hadoop, Spark etc. (experience)
• - Experience with popular deep learning frameworks such as MxNet and Tensor Flow. (experience)
• - 5+ years of building machine learning models or developing algorithms for business application experience (experience, 5 years)
• - Experience in patents or publications at top-tier peer-reviewed conferences or journals. (experience)
• 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. (experience)

Responsibilities

• - Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models.
• - Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
• - Lead the decomposition of problems and development of roadmaps to execute on it.
• - Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.
• - Influence team business and engineering strategies.
• - Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
• - Foster collaborations between scientists to move faster, with broader impact.
• - Actively engage in the development of others, both within and outside the team.
• - Regularly engage with the broader scientific community with presentations, publications, and patents.
• About the team
• We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
• Team Video: https://youtu.be/zD_6Lzw8raE

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