Amazon
Sr. ML Architect
Amazon, Sunnyvale, California, United States, 94087
Description
Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOC’s for the machine learning enabled consumer products. We are looking for exceptional engineers to join the SOC development team and help develop the next generation of chips based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities
What will you do?
Analyze deep learning workloads and map them to Amazon’s Neural Edge EnginePropose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our acceleratorCollaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devicesDeliver hardware architecture, microarchitecture and other design collateral for our next generation ML acceleratorsBuild tools for modeling and performance evaluation to enable power, performance, cost options and trade offsWork with full stack silicon designers to realize the architecture on silicon.
Basic Qualifications
Experience with neural deep learning methods and machine learning3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languagePhD, or Master's degree and 6+ years of applied research experience3+ years of designing HW IP preferably for machine learning workloads
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.Experience programming in HDL like Verilog, VHDL or HLS (High Level Synthesis)
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
this link .
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
this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2590992
#J-18808-Ljbffr
Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOC’s for the machine learning enabled consumer products. We are looking for exceptional engineers to join the SOC development team and help develop the next generation of chips based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities
What will you do?
Analyze deep learning workloads and map them to Amazon’s Neural Edge EnginePropose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our acceleratorCollaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devicesDeliver hardware architecture, microarchitecture and other design collateral for our next generation ML acceleratorsBuild tools for modeling and performance evaluation to enable power, performance, cost options and trade offsWork with full stack silicon designers to realize the architecture on silicon.
Basic Qualifications
Experience with neural deep learning methods and machine learning3+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languagePhD, or Master's degree and 6+ years of applied research experience3+ years of designing HW IP preferably for machine learning workloads
Preferred Qualifications
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Experience with large scale distributed systems such as Hadoop, Spark etc.Experience programming in HDL like Verilog, VHDL or HLS (High Level Synthesis)
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
this link .
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
this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC
Job ID: A2590992
#J-18808-Ljbffr