Machine Learning Engineer

Quick Facts

Role: Machine Learning Engineer (AI Core) — research, build, and operationalize production AI solutions.

Pay range (CA/CO/CT/NV/NY/RI/WA): $139,725–$209,588 USD base annual.

Work model: Office-first; typically 3 days/week in office (role-specific flexibility may apply).

Description

You will research, develop, and implement state-of-the-art AI models and workflows in Python. The work focuses on production-ready, reusable components and robust pipelines that can be reused across multiple business domains.

Responsibilities

• Design, build, and optimize ML models, pipelines, and APIs using Python and modern AI frameworks.
• Develop reusable, production-grade components to enable rapid AI solution deployment across business units.
• Implement configuration-driven workflows (e.g., YAML) for scalable and flexible AI orchestration.
• Maintain high code quality with unit, integration, and exploratory testing (e.g., ~80% coverage or team standards).
• Collaborate with backend, frontend, and product teams to integrate AI models into scalable, user-facing features.
• Participate in technical planning, architecture reviews, and sprint ceremonies.
• Monitor, evaluate, and improve AI model performance in production; troubleshoot data pipelines, inference, and deployment issues.
• Document workflows, best practices, and model configurations for reproducibility and transparency.
• Perform peer reviews and provide constructive feedback on ML code and processes.
• Continuously learn—stay current with AI/ML advancements and experiment with new techniques.

Benefits

• Comprehensive healthcare coverage
• Flexible PTO
• Equity (RSUs)
• Annual performance bonus opportunities
• Retirement account support
• 14+ weeks of paid parental leave
• Career development opportunities
• Company-paid privacy certification exam fees
• Additional benefits; specific details vary by country