Senior ML/AI Engineer

📋 Description

• Architect and lead end-to-end ML/AI pipelines — including training, fine-tuning, experimentation, and deployment.
• Design and own CI/CD pipelines for ML/AI workflows, including automated testing, model versioning, and continuous delivery to production environments.
• Build and maintain scalable ML/AI infrastructure on cloud platforms.
• Develop monitoring and observability frameworks to track model performance, data drift, and system health in production.
• Design, build, and maintain APIs for exposing ML/AI models and data services to internal and external consumers.

🎯 Requirements

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Operations Research, Engineering, or a related quantitative field.
• 5+ years of experience developing, training, evaluating, deploying, monitoring, and iterating on production-level ML/AI models and pipelines at scale.
• Solid knowledge of mathematics and statistics underpinning ML methods and model evaluation.
• Experience with large language models (e.g., OpenAI) and applied NLP on unstructured text data, including fine-tuning and deployment of LLM-based systems.
• Strong programming skills in Python and SQL.
• Deep understanding of MLOps: deployment, model versioning, experiment tracking, automated retraining, and production observability.

🎁 Benefits

• Time Off: Flex PTO policy (3-5 wks/year recommended) + 11 paid holidays.
• Medical Benefits: Medical, Dental, Vision, Life, and AD&D insurance; Equip pays a significant percentage of benefits premiums for individuals and families.
• Maven: company-paid reproductive and family care benefit for all employees; EAP for mental health and more.
• Work From Home Perks: $50/month internet stipend and one-time home office stipend up to $500.
• Work is 100% from home with limited travel for team meetings.
• DEIB and equitable access commitments; accommodations available on request.