Senior Machine Learning Engineer

• Facilitating cross-functional collaboration between ML, software engineering, and product teams to translate research into production.
• Investigating new research trends in LLM alignment, self-supervised learning, and reinforcement learning for product innovation.
• Defining and enforcing MLOps best practices (CI/CD, model versioning, monitoring) to streamline model lifecycle management.
• Architecting scalable ML systems for efficient inference, fine-tuning, and retraining.
• Optimizing LLM inference pipelines for low-latency, high-throughput applications.

• Red-teaming LLMs via jailbreaking, prompt injection, and other Prompt Hacking techniques
• Designing and implementing guardrails against adversarial attacks that target the vulnerabilities of SOTA LLMs
• Staying on top of the rapidly-growing field of AI Safety research
• Developing performance evaluation tools for LLM benchmarking
• Deploying training, evaluation, and testing pipelines in production

• Designing effective AI solutions based on thorough literature reviews
• Deploying large-scale training and evaluation pipelines for the implemented solutions