157 applicants

Company

Original Job Post

Palo Alto Networks · 2 days ago

Sr Staff Machine Learning Engineer

Santa Clara, CA

Full-time

Hybrid

Senior Level

$144K/yr - $215K/yr

Wonder how qualified you are to the job?

Maximize your interview chances

Cloud SecurityCyber Security

H1B Sponsorship

Actively Hiring

Growth Opportunities

Insider Connection @Palo Alto Networks

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

Responsibilities

Prototype, build, and improve AI systems for automating and augmenting team workflows

Ship, support, debug, and secure AI systems in production

Interact directly with security professionals who use your software and AI systems on a daily basis to increase their effectiveness and the quality of their work

Improve ML scaling infrastructure for data ETL, model training and lifecycle, MLOps, batch and run-time processing, and inference

Incorporate feature engineering, data pipelines, and transforms to deliver data for ML model training and run-time inference services

Creatively analyze effectiveness of existing models to iterate and improve

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.

PythonMLOpsData EngineeringBigQueryAirFlowApache BeamDataflowSQLAI SystemsSoftware DevelopmentArtificial IntelligenceMachine LearningRecommendation SystemsMalware DetectionBehavior ModelingNatural Language ProcessingKnowledge GraphsComputer VisionApplied ML TechniquesGradient Boosted Decision TreesNeural NetworksNLPLLMsML FrameworksScikit-LearnTensorFlowPyTorchHugging FaceMLFlowProblem-Solving

Required

Experience with Python including delivering production-quality code and debugging in a production environment

Experience with delivery and maintenance of AI systems and software in production environments

Strength in at least one of these areas: MLOps (e.g. Feature Store, Model Serving, Model Monitoring), Data Engineering (e.g. BigQuery, AirFlow, Apache Beam, Dataflow, SQL), Designing and building data-driven applications backed by artificial intelligence (e.g. recommendation systems, malware detection, behavior modeling, natural language processing, search, knowledge graphs, computer vision), Applied ML techniques (e.g. gradient boosted decision trees, neural networks, NLP, LLMs) and ML frameworks (e.g. scikit-learn, tensorflow, pytorch, Hugging Face, MLFlow)

Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face

Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders

Company

Palo Alto Networks

Glassdoor

4.1

Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.

Founded in 2005

Santa Clara, California, USA

10,001+ employees

http://www.paloaltonetworks.com

H1B Sponsorship

Palo Alto Networks 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 (232)

2022 (382)

2021 (544)

2020 (304)