Applied ML Engineer

Location: United States (West Coast preferred, remote considered)
About the Company

We are a US-based company applying machine learning to high-impact, real-world problems. Our teams build and deploy ML systems that operate in production, supporting critical business and operational decisions. We value pragmatic engineering, strong ownership, and engineers who understand the trade-offs between model performance and real-world constraints.

We are seeking a Staff Applied Machine Learning Engineer to design, build, and deploy end-to-end ML systems in production environments. This role is hands‑on and senior, working closely with engineering, product, and data teams to deliver models that drive measurable impact.

This is not a research‑only role – the focus is on applied ML, production systems, and business outcomes.

• 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, Tensor Flow, scikit-learn)
• Familiarity with MLOps, model monitoring, and production pipelines
• Strong communication skills and ability to work cross-functionally

• Work on ML problems with real-world impact
• High ownership and influence at a senior technical level
• Collaborative, engineering-led culture
• Competitive compensation and flexible work arrangements