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Company

Original Job Post

Amazon · 2 days ago

Applied Scientist III, Search Engine Technologies

Palo Alto, CA

Full-time

Onsite

Senior Level

$150K/yr - $260K/yr

3+ years exp

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Insider Connection @Amazon

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Act as the technical leader in Machine Learning, Information Retrieval, and drive full life-cycle Machine Learning projects.

Lead technical efforts within this team and collaboration with other science teams.

Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.

Run A/B experiments, gather data, and perform statistical tests.

Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving.

Work closely with junior scientists, software engineers and product managers to assist in productizing your ML models.

Establish new research initiatives to shape our long-term science vision.

Act as a mentor to other Scientists on the team.

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.

Machine Learning ModelsJavaC++PythonNeural Deep LearningMachine LearningRScikit-learnSpark MLLibMxNetTensorflowNumpyScipyHadoop

Required

3+ years of building machine learning models for business application experience

PhD, or Master's degree and 6+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

Preferred

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.

Benefits

Equity

Sign-on payments

Full range of medical benefits

Full range of 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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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (14000)

2022 (23375)

2021 (15334)

2020 (14558)