ML Platform Engineer Scale AI Pipelines & MLOps
thewrapNew York (NY)
ML Platform Engineer Scale AI Pipelines & MLOps
Posted 2 days ago
thewrapNew York (NY)
SENIORITY
Lead
About the role
Gusto is seeking a Machine Learning Platform Engineer to join the ML Platform team to build and scale our ML/AI infrastructure. You will work closely with AI/ML engineers to rapidly build, deploy, and iterate high-quality ML and AI infrastructure solutions at scale, ensuring reliability and effectiveness. The ideal candidate has strong software development skills, experience with data pipelines and ML model deployment, and a passion for AI-native engineering.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.