Description:

Dynamo AI is seeking a Machine Learning Engineer focused on LLM safety, with opportunities available in San Francisco, New York, France, London, and Zürich.
The role involves designing, developing, and maintaining ML code for products centered around LLM safety.
The ML team emphasizes safety, privacy, and real-world responsibility in AI advancements.
The position offers the chance to work on a premier platform for private and personalized LLMs, providing a fast-paced environment free from Big Tech and academic constraints.
Responsibilities include delivering robust and scalable implementations of LLM safety techniques, performing rigorous testing of product features, and ensuring seamless integrations with customers’ AI workflows.
The engineer will implement novel techniques to create harmless and helpful models, directly impacting customer deployments of safe LLMs.
Collaboration with policy, product, and engineering teams is essential to ship features to customers.

Requirements:

Candidates must have deep domain knowledge in LLM safety and/or evaluation techniques.
Extensive experience in designing, implementing, and maintaining production-ready ML code for LLMs is required, including past experience integrating LLM APIs in production environments.
Comfortability with leading end-to-end projects and collaborating with researchers and engineers is necessary.
Adaptability and flexibility are crucial, as the role may require shifts in focus based on new findings in the community.
Preferred qualifications include past engineering experience with strong knowledge of LLMs.

Dynamo AI is committed to compliance with local and state laws regarding job listings and salary transparency.
The salary for this position may vary based on factors such as experience, expertise, and geographic location.
Compensation is designed to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.