ML Engineer

About Canyon Labs

Our product started as a side project in 2019 and now has a few hundred paying customers, mostly in North Carolina. Profitable, no outside investors, and no plans to take any. We grow when customers pay us.

About the role

We need an ML Engineer. This is a full-time position based in Greensboro, North Carolina. We're looking for an engineer to build retrieval-augmented generation features on hosted and open-weight language models, with proper evaluation. Remote within the US. We meet in person once or twice a year.

What you'll do

• Fine-tune open-weight models with LoRA when it beats prompting
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure
• Monitor models for drift, data quality issues and latency regressions
• Track experiments, artifacts and versions in MLflow or Weights & Biases
• Document model cards, data sources and known failure modes
• Productionize data science prototypes without rewriting everything

You have

• 3+ years of software engineering experience, with at least two spent on ML systems in production
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Knowledge of LLM APIs, prompt design and evaluation methods
• Strong Python and solid engineering habits (testing, packaging, code review)
• Hands-on experience with PyTorch, TensorFlow or JAX
• Experience deploying models as services and monitoring them

What you get

Compensation: $157,000 to $179,000 per year

• Paid sick leave
• Stock options
• Vision insurance
• Paid time off

New hires usually start two to three weeks after accepting an offer.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Canyon Labs.