ML Engineer - LLM Safety

August 27, 2024

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Dynamo AI

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Dynamo AI is a company that specializes in providing end-to-end privacy, security, and compliance solutions for enterprises adopting AI technologies. Their product suite covers the entire AI development lifecycle, offering tools like DynamoEval for automated stress testing, DynamoEnhance for risk remediation and model enhancement, and DynamoGuard for deploying AI guardrails and auditing LLM usage. Dynamo AI prepares organizations for emerging AI regulations by automating vulnerability assessments and bolstering red-teaming processes, ensuring compliance with regulatory changes such as the EU AI Act. The company aims to help enterprises manage the security and privacy challenges posed by AI adoption.

11 - 50 employees

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

💰 $15.1M Series A on 2023-08

📋 Description

• 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. • Push the envelope by implementing novel techniques that delivers the world’s most harmless and helpful models. Your work will directly empower our customers to more feasibly deploy safe and responsible LLMs. • Work closely with our policy, product, and engineering teams to ship features to customers.

🎯 Requirements

• Deep domain knowledge in LLM safety and/or evaluation techniques. • Extensive experience in designing, implementing, and maintaining production-ready ML code for LLMs. Past experience on integrating LLM APIs in production environments. • Comfortability with leading end-to-end projects and collaborating with researchers and engineers. • Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research in short time-frames. • Preferred: Past engineering experience with strong LLM knowledge.