SandboxAQ is hiring a
Staff Machine Learning Operations Engineer

Summary

Join SandboxAQ to solve challenging problems with AI + Quantum for positive impact and be part of a culture where thought leadership, diverse talent, employee engagement, and technological impact create the next tech uproar.

Requirements

• You understand Deep Learning and Machine Learning well enough to help deploy, maintain, and monitor models in production environments
• You have 7+ years of experience in AWS, MLOps, and AI/ML, which allows you to make skillful recommendations about which services would be best to use for a given AI Product
• You thrive in a startup environment and are able to balance the need for speed with the desire to build solid, reliable software

Responsibilities

• Make clear, well-researched, and experience-based architectural recommendations, which support the delivery of complex AI SAAS products to customers
• Analyze and communicate the critical trade-offs in competing architectural options, by articulating the impact on the product quality and scalability, technical complexity, timeline for delivery, and ongoing maintenance requirements
• Guide the AI/DS team toward continual improvement in fundamental engineering best practices
• Build complex yet robust MLOps pipelines to support the delivery of AI SAAS products
• Provide experienced recommendations for the best AWS services to utilize for optimal MLOps pipeline delivery
• Implement systems to train existing Dl and ML models at scale, and iterate rapidly toward new AI/ML products
• Implement tools and methodologies that support solid data governance, including monitoring of traceability, data quality, data security, etcetera
• Conduct code reviews for more junior AI/ML scientists

Benefits

• Competitive salaries
• Stock options depending on employment type
• Generous learning opportunities
• Medical/dental/vision
• Family planning/fertility
• PTO (summer and winter breaks)
• Financial wellness resources
• 401(k) plans