Staff Data Scientist/Machine Learning Engineer

📋 Description

• Own end-to-end ML lifecycle from opportunities to deployment.
• Design/deploy/monitor ML models in production.
• Build ML for multi-modal data (CV, NLP, graphs).
• Architect scalable multi-tenant inference across geographies/clouds.
• Move models from concept to production; monitor drift and fairness.
• Collaborate with engineers, product managers, designers, and domain experts.

🎯 Requirements

• Python and SQL for complex analysis.
• Production ML lifecycle: design, deployment, monitoring.
• Explain ML concepts to non-technical stakeholders.
• Deep CV or LLM expertise; architecture decisions.
• ETL/ELT with dbt and Snowflake.
• Cloud (Azure/GCP) + Docker; Git/GitHub; CI/CD.

🎁 Benefits

• Employee share scheme: own part of Auror.
• Flexible, outcomes-focused culture.
• Shorter work weeks: Friday afternoons off.
• Wellness Days and up to $500 for expert sessions yearly.
• Health care plan: Medical, Dental & Vision; 100% for you.
• Family-friendly: 12 weeks parental leave; 6 weeks for non-birth.