Senior Machine Learning Architect
4 weeks ago
Amazon Devices is a leading research and development company that designs and engineers innovative devices such as the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. We are seeking an exceptional Senior Machine Learning Architect to join our SOC development team and help develop the next generation of chips based on a revolutionary architecture.
Key Responsibilities
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.
Requirements
Experience with neural deep learning methods and machine learning
3+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language
PhD, or Master's degree and 6+ years of applied research experience
3+ 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 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 $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.
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