Software Engineer, ML Infrastructure

About the role:

Here, you’ll join a structured, scalable-engineering team that collaborates across ML, data and product functions — and enjoys a culture that is open, flexible and far from traditional corporate rigidity.

What You’ll Do

• Design and build backend systems that power AI/ML workflows and GenAI-based agents.
• Develop tools and platforms for model training, deployment, observability and monitoring.
• Collaborate closely with ML scientists, data engineers and product teams to integrate AI features into real-world systems.
• Ensure reliability, scalability and performance of the infrastructure — while maintaining flexibility to adopt the best tools and frameworks (Python, AWS, etc.).
• Grow in understanding ML systems, pipelines and infrastructure, while owning meaningful components and contributing to major platforms.
  
  

What We’re Looking For

• 1-4 years of software engineering experience (backend-oriented) or relevant internship/project experience.
• Strong fundamentals in software design, coding and distributed systems (Python is preferred).
• Demonstrated curiosity about ML/AI systems, pipelines or infrastructure. MLOps experience is a plus but not required.
• Excellent communication and collaboration skills, comfort working cross-functionally with ML, data & product teams.
• Self-starter mentality — eager to learn, iterate and own components.
• Bachelor’s degree in Computer Science, AI/ML, or comparable experience.