Staff Machine Learning Engineer

Omnissa

Staff Machine Learning Engineer at Omnissa designing, building, and deploying machine learning systems for digital work platform. Collaborating cross-functionally to drive ML best practices in scalable cloud environment.

Posted 6/19/2026full-timeMountain View • California • 🇺🇸 United StatesLead💰 $162,512 - $342,750 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
Implement model observability, monitoring, and drift detection to ensure production reliability.
Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.

Requirements

What you’ll need

5+ years of experience in machine learning engineering or data science roles
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn)
Experience building and operating data processing workflows (batch or streaming)
working with cloud platforms (AWS, Azure, or GCP)
Solid understanding of machine learning algorithms, statistics, and model evaluation techniques
Familiarity with containerization and orchestration technologies (Docker, Kubernetes)
Hands-on experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment
Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
Highly motivated, adaptable, and eager to learn new technologies.

Benefits

Comp & perks

employee ownership
health insurance
401k with matching contributions
disability insurance
paid-time off
growth opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata sciencePythonPyTorchTensorFlowScikit-learndata processing workflowsmachine learning algorithmsmodel evaluation techniquesLarge Language Models

Soft Skills

problem-solvingcollaborationadaptabilitymotivationeagerness to learn