Reinforce Labs-posted about 15 hours ago
Full-time • Mid Level
Hybrid • Palo Alto, CA

At Reinforce Labs, we partner directly with customers to build AI systems that enhance the safety and reliability of their complex, high-impact applications. In this role, you'll engage directly with clients to deeply understand their specific challenges, conduct thorough data analysis, and deliver trust and safety AI solutions. You'll implement advanced machine learning techniques including LLMs, reinforcement learning, and deep learning - often translating cutting-edge research papers into practical applications. This position combines technical depth with significant client-facing responsibilities. You'll tackle high-stakes problems with unclear solutions but real-world consequences. Our success is measured by real-world impact. You'll develop and ship solutions that protect people and platforms at scale while building trusted relationships with the clients who depend on our technology.

  • Develop core AI infrastructure for our foundation agentic system and backend services
  • Maintain scalability and reliability with DevOps setup
  • Performance optimization for ML infrastructure
  • Build robust ETL pipelines to handle large scale data
  • Experience in cloud platforms such as AWS and GCP
  • Apply devops and build CI/CD pipelines to maintain reliable production infrastructure
  • Develop scalable backend infrastructure for AI or data intensive applications for production
  • Experience building maintainable and testable code bases, including API design and unit testing techniques
  • Work on data lake and ETL pipelines to manage enterprise scale data
  • Experience with programming languages and scripting languages
  • Experience partnering with trust & safety leads and background in trust & safety, moderation, AI safety, or security-focused ML to deliver state-of-the-art solutions [a big plus]
  • An advanced degree in computer science or a related field
  • LLM and agentic framework experience
  • Experience in early-stage startups
  • Experience in customer-facing AI technical solutions
  • Contributions to high value community projects
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