Applied Scientist, ML Systems & Compiler for Accelerators

Amazon; Cupertino (CA); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's AWS Neuron Science team in Cupertino is seeking an Applied Scientist to enhance the software stack for Trainium and Inferentia. This position involves collaborating with engineering teams and engaging with research communities to drive customer adoption.

The ideal candidate holds a PhD or a Master’s with relevant experience, proficient in programming languages like Java, C++, and Python, and is knowledgeable in algorithms and high-performance computing.

The role offers a competitive salary range of $171,600 – $222,200 annually, with additional benefits including health insurance and parental leave.

Qualifications

• PhD or Master’s degree in CS, CE, ML, or a related field.
• Experience with patents or publications at top-tier conferences or journals.
• Experience in algorithms, data mining, and high-performance computing.

Responsibilities

• Enhance software stack for customer adoption of Trainium and Inferentia.
• Collaborate with engineering teams on innovative solutions.
• Engage with academic and research communities in ML.

Skills

Proficiency in Java

Proficiency in C++

Proficiency in Python

Algorithms and data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD in CS, CE, ML, or related field

Master’s degree with 4+ years experience

Job description

Amazon's AWS Neuron Science team in Cupertino is seeking an Applied Scientist to enhance the software stack for Trainium and Inferentia. This position involves collaborating with engineering teams and engaging with research communities to drive customer adoption.

The ideal candidate holds a PhD or a Master’s with relevant experience, proficient in programming languages like Java, C++, and Python, and is knowledgeable in algorithms and high-performance computing.

The role offers a competitive salary range of $171,600 – $222,200 annually, with additional benefits including health insurance and parental leave.