Staff Applied ML Engineer

• Design, develop, and deploy machine learning models end-to-end, from data ingestion to production
• Work with noisy, incomplete, or imperfect data to deliver practical ML solutions
• Optimize models for performance, reliability, and scalability in production environments
• Collaborate closely with product and engineering teams to align ML solutions with business needs
• Monitor and maintain deployed models, ensuring ongoing performance and stability
• Provide technical leadership and mentorship to other ML engineers

• 7+ years of experience in software engineering or machine learning roles
• Proven experience deploying and maintaining ML models in production
• Strong understanding of applied ML techniques and model evaluation
• Experience working with real-world data and operational constraints
• Proficiency in Python and common ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
• Familiarity with MLOps, model monitoring, and production pipelines
• Strong communication skills and ability to work cross-functionally

Competitive compensation and flexible work arrangements