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Company

Original Job Post

Zoom · 3 days ago

Machine Learning Engineer

San Jose (CA)

Full-time

Onsite

Mid Level

$150K/yr - $220K/yr

2+ years exp

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CollaborationInformation Technology

H1B Sponsorship

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Insider Connection @Zoom

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Responsibilities

Partner with Product and several additional teams to translate high-level roadmap vision into sensible feature specifications and deliverables and assisting in the building of a variety of tools and services.

Work closely with data engineers and other engineering teams on data analysis, data preparation, and data preprocessing.

Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security policies.

Train, evaluate, and validate ML models using cloud computing platforms.

Serve trained models as prediction services into the production environment.

Follow MLOps best practices to develop and maintain machine learning pipelines that can automate the retraining and deployment of new models.

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.

Linear AlgebraStatisticsMachine LearningPythonML modelsAnomaly DetectionClusteringMulticlass ClassificationBooster AlgorithmsBuilding Machine Learning ModelsJavaDeploymentNatural Language ProcessingComputer VisionData MiningScikit-learnTensorflowPytorchMLflowKubeflowDatabricksSnowflake

Required

Requires a Master's degree in Computer Science, Computer Information Science, Information, a related field, or a foreign equivalent.

Must have 2 years of experience in job offered or related occupation.

Must have 2 years of experience in Linear Algebra, Statistics and Machine Learning; Python; ML models and algorithms, such as anomaly detection, clustering, multiclass classification with booster algorithms; Building machine learning models, pipeline (java skill), and deployment; Natural language processing, computer vision, data mining; and Tech stack: Scikit-learn, Tensorflow, Pytorch, MLflow, Kubeflow, Databricks, Snowflake.

Preferred

Telecommuting work arrangement permitted: position may work in various unanticipated locations throughout the U.S.

Benefits

Health Insurance

Company

Zoom

Zoom is a software company that offers a communications platform that connects people through video, voice, chat, and content sharing.

Founded in 2011

San Jose, California, USA

5,001-10,000 employees

http://zoom.us

H1B Sponsorship

Zoom has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (125)

2022 (252)

2021 (103)

2020 (43)