ML Engineer – LLM Safety

A CB Insights Top 100 AI Startup focused on developing LLMs with safety, privacy, and real-world responsibility.
Machine Learning
Mid-Level Software Engineer
Remote
AI

Description For ML Engineer – LLM Safety

Dynamo AI is at the forefront of developing safe and responsible Large Language Models (LLMs), focusing on privacy and real-world applications. As a 2023 CB Insights Top 100 AI Startup, they're building the premier platform for private and personalized LLMs, working with Fortune 500 companies to implement frontier research in their next-generation LLM products.

The ML Engineer – LLM Safety role offers a unique opportunity to work with a fast-paced team of ML Ph.D.'s and builders, free from traditional Big Tech and academic constraints. The position involves designing, developing, and maintaining ML code for products centered around LLM safety, with a focus on democratizing state-of-the-art research on safe and responsible AI.

The ideal candidate will be passionate about building platforms that empower fair, unbiased, and responsible development of LLMs, without compromising user privacy for ML advancement. Working at Dynamo AI means seeing your impact on end customers within weeks, not years, while contributing to the development of the world's most harmless and helpful models.

The role combines technical expertise in machine learning with practical engineering skills, requiring someone who can adapt quickly to new research findings and implement them effectively. You'll be working closely with policy, product, and engineering teams, making a direct impact on how customers deploy safe and responsible LLMs in the real world.

Last updated 20 days ago

Responsibilities For ML Engineer – LLM Safety

  • Work at the intersection of ML and Engineering for delivering robust and scalable implementation of LLM safety techniques and evaluations
  • Perform rigorous testing of the product features and ensure seamless integrations with customers' AI workflows
  • Implement novel techniques that delivers the world's most harmless and helpful models
  • Work closely with policy, product, and engineering teams to ship features to customers

Requirements For ML Engineer – LLM Safety

Python
  • Deep domain knowledge in LLM safety and/or evaluation techniques
  • Extensive experience in designing, implementing, and maintaining production-ready ML code for LLMs
  • Experience on integrating LLM APIs in production environments
  • Comfortability with leading end-to-end projects and collaborating with researchers and engineers
  • Adaptability and flexibility to learn, implement, and extend state-of-the-art research in short time-frames
  • Preferred: Past engineering experience with strong LLM knowledge

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