Productionise forecasting models that clients pay for.
Our forecasting and anomaly-detection models move operational decisions for clients daily. You'll take ML work past the notebook — training pipelines, evaluation rigour and serving infrastructure that stays up when it matters.
What you'll do
- Build and own training and evaluation pipelines
- Deploy and monitor models in production
- Improve feature pipelines with the data team
- Mentor engineers on ML engineering craft
What we're looking for
- 5+ years ML engineering or applied ML
- Production Python and PyTorch
- Experience with model monitoring and retraining loops
- Comfort shipping for real operational stakes
Why join
- Performance bonus
- Health and dental
- Equity
- Conference budget