Applied ML Engineer - Model R&D

Role & Responsibilities:

• Transform research-grade ML code into production-ready, maintainable systems.
• Own end-to-end deployment pipelines: data ingestion, feature engineering, model serving, monitoring.
• Partner with researchers and engineers to implement robust solutions.

Requirements:

• Strong software engineering background with production deployment experience.
• Proficiency in Rust or willingness to learn; experience with ML pipelines and MLOps.
• Ability to work autonomously and collaborate across time zones.

Benefits:

• Competitive compensation with performance-based bonus.
• Remote-first flexibility with in-person team events.
• Comprehensive healthcare, open PTO, and 16 weeks parental leave.

Culture:

• High-impact, entrepreneurial environment with autonomy and ownership.
• Continuous learning and professional development support.