Staff Machine Learning Engineer
Boise, ID - Main Site, United States
USD 136K-286K (estimate) Senior-level Full Time
Tasks
- Analyze data sets for patterns
- Build agentic systems that orchestrate workflows and integrate APIs
- Build custom software components and analytics applications
- Build end-to-end machine learning systems
- Build enterprise generative AI applications
- Build maintain data and solution pipelines
- Create and maintain CI CD pipelines for machine learning
- Deploy machine learning models to production
- Design train and iterate machine learning models
- Develop ETL/ELT pipelines
- Develop ML AI solutions using cloud platforms
- Develop monitoring and continuous improvement systems
- Expose machine learning models via APIs
- Fine tune pre trained models on domain datasets
- Implement retrieval-augmented generation
- Monitor deployed model performance
- Perform data preprocessing and feature engineering
- Select models based on performance and compute cost
Perks/Benefits
- Income Protection for Illness or Injury
- Medical, dental, vision plans
- Paid Holidays
- Paid family leave
- Paid time off
Skills/Tech-stack
APIs | Agentic AI | Amazon Web Services | Apache Airflow | Apache Kafka | CI/CD | Classification | Cloud Pub/Sub | Cloud platform | Data Preprocessing | Deep learning | Docker | ELT | ETL | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Google Cloud Pub/Sub | Google Dataflow | Java | Kubeflow | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Multimodal | Prompt engineering | Pub/Sub | PyTorch | Python | RAG | Regression | Reinforcement Learning | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Web Services
Education
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