Job Description

Locations

• United States, CA, Sunnyvale, Sunnyvale, CA, United States

Salary

Skills Required

• - 3+ years of building machine learning models for business application experienceintermediate
• - PhD, or Master's degree and 6+ 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

• - 3+ years of building machine learning models for business application experience (experience, 3 years)
• - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 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)
• Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (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

• What will you do?
• • Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine
• • Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator
• • Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices
• • Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators
• • Build tools for modeling and performance evaluation to enable power, performance, cost options and trade offs
• • Work with full stack silicon designers to realize the architecture on silicon.

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