Graduate Machine Learning Engineer

Who we are:

Our product started as a side project in 1996 and now has a few hundred paying customers, mostly in California. Most engineers work remotely and come into the office one week a quarter for planning.

About the role:

We are backfilling a position after an internal move. Quillmark Digital is hiring for the Graduate Machine Learning Engineer role to take models from notebook to production and keep them working once they're there. The company is based in Los Angeles, the US. We are a distributed team spread across a few time zones. This is a full-time remote role. We use an employer of record in Bulgaria, so you get a proper employment contract, not a freelance agreement. You will need at least 3 hours of overlap with US Pacific time. Clear written English is a must, as the team works across time zones.

What you'll work on:

• Track experiments, artifacts and versions in MLflow or Weights & Biases.
• Fine-tune open-weight models with LoRA when it beats prompting.
• Cut inference cost with quantization, batching and caching.
• Set up evaluation harnesses and regression tests for model quality.
• Write clean, tested Python and review teammates' code.

About you:

• 1-2 years of software engineering experience, with at least two spent on ML systems in production.
• Strong Python and solid engineering habits (testing, packaging, code review)
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.

Benefits:

Salary range: €2,500 - €2,800 monthly

• Performance bonus.
• Paid sick days.
• Paid parental leave.
• Health insurance through our employer-of-record partner.
• 24 days paid time off.
• Annual salary review.

Start: Within 30 days.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Quillmark Digital LLC.