Software Engineer II, MLOps (AI)

TL;DR

Software Engineer II, MLOps (AI): Developing and optimizing ML cloud infrastructure to support the productionalization of machine learning models with an accent on scalable systems and CI/CD pipelines. Focus on building robust APIs and microservices using AWS to enable real-time ML inference and high-reliability deployment.

Location: On-site in Boston, MA. Must be prepared to relocate if necessary.

Salary: $125,000 – $175,000

Company

WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

What you will do

• Design and maintain cloud-based infrastructure for scaling ML models.
• Implement automated CI/CD pipelines for seamless transition from development to production.
• Develop APIs and microservices for real-time ML inference.
• Optimize deployment using AWS services like SageMaker, Lambda, and ECS.
• Collaborate with Data Scientists and AI teams to productionalize prototypes.
• Troubleshoot and resolve technical challenges in production ML workloads.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
• 2+ years of software engineering experience focusing on ML infrastructure in cloud environments.
• Proficiency in Python or Java.
• Understanding of the ML lifecycle (training, evaluation, and production monitoring).
• Experience with Cloud Computing concepts and design patterns.
• Authorized to work in the US (E-Verify).

Culture & Benefits

• Competitive base salary and meaningful equity packages.
• Comprehensive benefits package.
• Inclusive environment valuing character as much as experience.
• Opportunity to work on mission-driven human performance technology.