What you'll be doing:
Participate in defining and ensuring AI development processes meet safety standards.
Drive hands-on safety research on a wide range of AI and networking products.
Build tools and processes to expose weaknesses in AI systems and preempt threats.
Partner with cross-functional teams to understand needs and implement solutions.
Be a technical focal point across multiple development and networking teams and provide hands-on AI safety and engineering expertise.
What we need to see:
Bachelors or Masters Degree program in Computer Science, Computer Engineering, or a related field (or equivalent experience).
Demonstrated experience of 5+ years in AI safety/security.
Proven Python programming expertise.
Excellent in-depth hands-on understanding of NLP, LLM, MLLM, Generative AI, and RAG workflows.
Knowledge of AI vulnerabilities and effective mitigation strategies. Experience with AI safety/security frameworks, compliance, and ethical standards.
Self-starter with a passion for growth, enthusiasm for continuous learning, and sharing findings across the team.
Extremely motivated, highly passionate, and curious about new technologies.
Ways to stand out from the crowd:
Experience delivering software in a cloud context.
Hands-on experience building products, including infrastructure and system design.
Knowledge of MLOps technologies such as Docker, Kubernetes, Helm, etc.
Familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
