Staff ML Engineer - Build Scalable AI Platforms

Omnissa, LLC; Mountain View (CA); On-site; USD 162,512 - 342,750; Full time

Benefits offered by this job

Employee ownership

Health insurance

401k with matching contributions

Paid time off

Job summary

A technology firm is seeking a Staff Machine Learning Engineer to design and deploy machine learning systems for predictive analytics and automation. You will collaborate with engineering and product teams while ensuring best practices in machine learning engineering. The ideal candidate has 5+ years of experience, proficient in Python and ML frameworks, and brings expertise in cloud platforms. The role offers a hybrid work model and competitive compensation.

Qualifications

• 5+ years of experience in machine learning engineering or data science roles.
• Experience building and operating data processing workflows (batch or streaming).
• Hands-on experience with Large Language Models (LLMs).

Responsibilities

• Design, develop, and deploy machine learning models for classification and prediction.
• Build and maintain scalable data pipelines for model training and evaluation.
• Collaborate with cross-functional teams to integrate ML solutions.

Skills

Machine Learning Engineering

Python

ML frameworks (PyTorch, TensorFlow)

Data Processing Workflows

Cloud Platforms (AWS, Azure, GCP)

Statistical Analysis

Agile Collaboration

Education

Bachelor's Degree (preferred)

Tools

Docker

Kubernetes

Distributed Computing Frameworks (Spark, Ray)

Job description

A technology firm is seeking a Staff Machine Learning Engineer to design and deploy machine learning systems for predictive analytics and automation. You will collaborate with engineering and product teams while ensuring best practices in machine learning engineering. The ideal candidate has 5+ years of experience, proficient in Python and ML frameworks, and brings expertise in cloud platforms. The role offers a hybrid work model and competitive compensation.