MLOps Engineer / Unicorn Startup / Remote

About the role

A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This full-time remote opportunity focuses on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.

This role is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, it centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.

Responsibilities

Tech Breakdown

• 40% AWS Infrastructure
• 30% Machine Learning Platform Engineering
• 20% Distributed Systems & Data Pipelines
• 10% Monitoring & Performance Optimization

Daily Responsibilities

• 75% Hands-On Engineering
• 10% Architectural Leadership
• 15% Team Collaboration

Requirements

• 5+ years of software engineering experience
• Strong Python development experience
• Production MLOps experience
• Expertise deploying machine learning workloads in AWS
• Experience designing CI/CD pipelines for model deployment
• Distributed systems knowledge
• Infrastructure automation experience
• Monitoring, telemetry, and observability expertise
• Experience supporting large-scale production environments

Qualifications

Desired Skills & Experience

• IoT or connected-device experience
• Kafka, Kinesis, or Flink
• Health-tech or wearable device experience
• ML platform engineering
• Cost optimization within cloud environments
• Real-time inference systems
• Startup experience
• Staff-level engineering experience

Benefits

• Medical, Dental, and Vision Insurance
• Flexible PTO
• Equity Participation
• Paid Parental Leave
• Life Insurance
• Remote Flexibility
• Employee Product Benefits

Pay

• Competitive Salary
• Substantial Equity

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.