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Company

Original Job Post

SiriusXM · 3 days ago

Staff Machine Learning Ops Engineer

Oakland, CA

Full-time

Hybrid

Senior Level

$101K/yr - $200K/yr

7+ years exp

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Responsibilities

Lead the deployment of ML models into production using Databricks and MLFlow, ensuring high performance and integration with existing systems.

Continuously monitor and maintain the health of ML models, optimizing them for efficiency and effectiveness.

Design and implement automated ML pipelines for model training, evaluation, and deployment, utilizing Databricks and MLFlow.

Work closely with data scientists, engineers, and other stakeholders, providing ML Ops expertise and support.

Spearhead the adoption of industry best practices in ML operations, focusing on areas like version control, data governance, and resource optimization.

Stay ahead of the curve by researching and implementing emerging technologies and methodologies in the ML Ops field.

Identify and resolve complex issues in ML model performance, deployment, and operational workflows.

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.

ML OpsData EngineeringML ModelsAlgorithmsDatabricksMLFlowProgramming LanguagesPythonScalaJavaCloud PlatformsAWSAzureContainerization TechnologiesDockerKubernetesLegal Right to Work in the U.S.AnalyticalProblem-SolvingCommunication

Required

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

7+ years’ experience in ML Ops, data engineering, or a similar role.

Deep knowledge of ML models and algorithms.

Expertise in Databricks, MLFlow, and other relevant ML tools and frameworks.

Proficiency in programming languages such as Python, Scala, or Java.

Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).

Excellent analytical, problem-solving, and communication skills.

Must have legal right to work in the U.S.

Company

SiriusXM

Glassdoor

3.5

SiriusXM and its brands (Pandora, SXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices.

Founded in 1990

New York, New York, USA

1,001-5,000 employees