ML Solutions Engineer
Posted on 4/3/2024
Robust Intelligence

51-200 employees

AI integrity platform mitigating security, ethical, operational risks.
Company Overview
Robust Intelligence stands out as a leader in AI Integrity, providing comprehensive protection against AI risks through continuous validation and automated testing of models and data. Their platform, trusted by industry giants like JPMorgan Chase, Expedia, and the U.S. Department of Defense, not only mitigates security, ethical, and operational vulnerabilities but also simplifies AI governance. Backed by reputable investors such as Sequoia Capital and Tiger Global, Robust Intelligence empowers organizations to confidently utilize any model, thereby unlocking the full potential of AI in a secure manner.
AI & Machine Learning

Company Stage

Series B

Total Funding





San Francisco, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Francisco, CA, USA
Experience Level
Desired Skills
Data Science
AI & Machine Learning
Applied Machine Learning
  • At least five years of professional experience with machine learning, ML operations, data science, or a related field
  • Experience building ML models and putting them into production
  • Strong expertise in AI, ML, data science, or related spaces; general knowledge of statistics and applied ML
  • Knowledge of Python (or other programming languages)
  • Significant knowledge of the artificial intelligence ecosystem; a deep understanding of how data scientists and machine learning engineers develop and deploy AI models
  • Experience with tooling and platforms in the ML ecosystem (Huggingface, MLFlow, Databricks, DataRobot, etc.)
  • Self-motivated and excited to work at a startup; comfortable with ambiguity, eager to learn, and able to thrive with little to no direct, daily oversight
  • Strong communication skills (business fluency in spoken and written English)
  • Ability to travel about 25% of the time to meet with your accounts
  • Build strong, meaningful relationships with customers and proactively seek to understand their technical and business objectives
  • Drive technical engagement and adoption across the complete customer journey
  • Champion customer needs internally, advocating for them within Robust Intelligence and leveraging customer knowledge to influence the product roadmap
  • Coordinate across multiple Robust Intelligence teams to advance adoption, expansion, and other Customer Success priorities
  • Become a power user of the RI platform, deeply understanding the user experience and creating and delivering tailored product demonstrations
  • Design high-quality, differentiated proofs of concept that establish the value of the Robust Intelligence platform
  • Scope customer engagements, investigate and understand customer needs, and build bespoke machine learning validation solutions using the RI platform
  • Work with customers to architect integrations with their existing machine learning stack and design best practices, processes, and frameworks for their organization
  • Gather, understand, and communicate customer feedback to RI’s Product and Engineering teams
  • Own customer-facing technical communications to ensure a professional and concise message