Role Opportunity Score
58Good opportunity
Small teamLonger application
Expected applicants: ~30–50
This Senior MLOps Engineer role is remote worldwide with a small startup, so expect around 30-50 qualified candidates given the specific tech stack. The equity offering acts as a friction filter, eliminating cash-only applicants and narrowing the field even further.
Evidence Dossier
Remote Details
Scope: Worldwide
Role Summary
Join our team as a Sr MLOps Engineer to help us bring current and next generations of Pod ML models to life. You'll be a part of a small team designing and implementing solutions with high levels of autonomy to bring our members better sleep. Your work will go directly to our fleet of existing Pods with low friction and direct impact to the business.
Stack Required
PythonPyTorchTensorFlowLambdaAWSCloudWatchKinesisKafkaFlinkCI/CD
Compensation
~120k–160k est.high confidence
health insurancevision insurancedental insurance+5 more
Requirements
Experience: 5+ years
Languages: English
Visa sponsorship not stated
Equity Offered
AI Tools Culture
AI mentionedLast seen on career page: 29d ago
Posted: 1mo ago