About the job
Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.
Key Responsibilities:
- Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.
- Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.
- Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.
- Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.
- Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.
- Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.
- Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.

