Data Platform Engineer for Scalable AI Training

xAI; Palo Alto (CA); On-site; USD 240,000 - 280,000; Full time

Benefits offered by this job

Comprehensive medical, vision, and dental coverage

401(k) retirement plan

Short & long-term disability insurance

Life insurance

Various discounts and perks

Job summary

xAI is seeking a Software Engineer for the Data team in Palo Alto, CA. You will develop applications that support data acquisition and training for AI systems. Your expertise will help build a reliable data pipeline to enhance model performance. The role requires strong software engineering skills and proficiency in programming languages like Python and experience with tools such as Kubernetes. The annual salary range is $240,000 - $280,000, including comprehensive benefits and equity options.

Qualifications

• Bachelor's degree in relevant technical field or 2+ years of experience in software.
• 1+ years in application development or data engineering.

Responsibilities

• Develop a reliable and scalable enterprise data platform for model training.
• Create features to improve data quality and model performance.
• Collaborate on architecture and design reviews.
• Build prototypes to test key design concepts.
• Own the software engineering and product development details.

Skills

Programming experience in Python

Hands-on experience with Kubernetes

Experience with relational and non-relational databases

Good understanding of statistics

Good understanding of machine learning algorithms

Education

Bachelor's degree in computer science, data science, engineering, math, physics, or similar

Tools

Ray

Grafana

Superset

Job description

xAI is seeking a Software Engineer for the Data team in Palo Alto, CA. You will develop applications that support data acquisition and training for AI systems. Your expertise will help build a reliable data pipeline to enhance model performance. The role requires strong software engineering skills and proficiency in programming languages like Python and experience with tools such as Kubernetes. The annual salary range is $240,000 - $280,000, including comprehensive benefits and equity options.