Software Engineer, Machine Learning Operations

The role

You will own the infrastructure, deployment, and monitoring for machine learning models. You will build the paths to get models onto edge devices and manage training and serving infrastructure.

What you will do

• Own the infrastructure behind every model shipped including training, serving, versioning, deployment, and rollback
• Build faster pipelines or cheaper inference paths for 11 million images a day
• Build the path that gets models onto edge devices and keeps them updated
• Build monitoring to catch model degradation
• Own the updates that fix model correctness

Required qualifications

• 2 to 6 years of full-time software engineering experience building and running production systems
• Experience building pipelines, deployment, observability, and tooling
• Fluent in Python

Nice to have

• Experience taking ML models past the notebook (deployment, monitoring, retraining)
• Deploying to edge or resource-constrained hardware
• Running your own servers instead of fully managed cloud services

Benefits

• Relocation bonus
• Monthly allowance for personalized health coverage (ICHRA)
• 401(k) matching up to 4%
• Company-sponsored life & disability insurance
• Early Stage Equity with annual tender process
• 4 weeks of untracked PTO
• 12 weeks of paid parental leave
• 12 weeks of fully paid sabbatical every 5 years
• Daily group lunches
• Fully stocked kitchen
• Annual 4-day team getaway
• Tuition reimbursement

Before you apply

• 3-4 interviews and a final paid work trial

About the company

Blissway is a startup that simplifies toll collection and improves highway safety. They operate with a lean team of less than 30 people.