122 applicants

Company

Original Job Post

Amazon · 2 days ago

Machine Learning Engineer, AGI

Sunnyvale, CA

Full-time

Onsite

Senior Level

$129K/yr - $224K/yr

2+ years exp

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Responsibilities

Build high-throughput, cost-effective data pipelines to support feature extraction and indexing for our web-scale Information Retrieval system

Design and build cost-efficient distributed model training infrastructure

Develop efficient, state-of-the-art streaming algorithms for processing large datasets (e.g. deduplication, topic clustering)

Build on and maintain an existing code base as well as new components; maintain production code and contribute to deployment and QA processes

Serve as technical lead for all stages of the software development cycle, including designing and developing new system architecture and improvements

Participate in prioritization, estimation, and sprint planning

Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ProgrammingMachine LearningData MiningInformation RetrievalStatisticsNatural Language ProcessingSoftware DevelopmentML FrameworksPytorchTensorRTOnnxAWS NeuronDeep LearningGPUCPUInferentia ArchitecturesSystem Performance AnalysisCompiler OptimizationsCUDAOpenCLXLATVMMLIRLLVMSoftware EngineeringCoding StandardsSoftware ArchitecturesCode ReviewsSource Control ManagementContinuous Deployments

Required

BS/MS in Computer Science or equivalent experience

Experience programming with at least one software programming language

Experience in machine learning, data mining, information retrieval, statistics or natural language processing

2+ years of non-internship professional software development experience

Preferred

Experience working with ML frameworks such as Pytorch, TensorRT, Onnx, AWS Neuron and accelerating deep learning models for GPU/CPU/Inferentia architectures

2+ years of relevant work or research experience in system performance analysis, compiler optimizations (CUDA, OpenCL)

Strong understanding with one or more of the following technologies: XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design

Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Benefits

Equity

Sign-on payments

Full range of medical benefits

Financial benefits

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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2020 (14558)