Machine Learning Engineer

Machine Learning Engineer (Computer Vision)

Type: Full-time ( Remote / Hybrid)

Team: AI / Machine Learning 

About the role

We build computer vision systems that run in live production, where models have to hold up under real conditions and real usage. We're looking for a machine learning engineer to join the team and work closely with our other ML and Robotics engineers.

It's a hands-on job. You'll spend your time getting models to work in production, not just on a benchmark.

What you'll do

• Train, fine-tune, and evaluate computer vision models.
• Improve the data side of the pipeline: curating datasets, catching quality problems, and building the checks that keep accuracy up.
• Get models from a working experiment into production, then keep them running and monitored.
• Build the tooling around the models, including monitoring, evaluation, and automation.
• Keep an eye on the cost and performance of our ML infrastructure and improve both.
• Track down why a model is misbehaving in production, find the root cause, and fix it so it stays fixed.

What we're looking for

• Around 2 to 3 years building and shipping ML systems.
• Strong Python and real fluency in a deep learning framework. 
• A working grasp of computer vision fundamentals.
• Experience with cloud platforms (AWS or similar) and containerized workflows.
• A data-first instinct. 
• Enough drive and judgment to take a problem and own it as you grow into the role.
• Comfortable working with a distributed team and writing things down clearly

Nice to have

• You've taken models to production before and kept them healthy over time.
• You know your way around MLOps: pipeline automation, model versioning, monitoring.
• You've worked with large, messy datasets from the real world.
• You've optimized cloud cost and performance.