Lead Machine Learning Engineer at AdvisoryAI

AdvisoryAI is revolutionizing wealth management by empowering financial advisors with AI-driven automation. As a Lead ML Engineer, you'll design, implement, and scale cutting-edge machine learning solutions, transforming research into real-world product features. This role offers significant impact in a fast-growing, funded startup environment.

• Collaborate with product, engineering, and research teams to design, execute, and evaluate AI experiments.
• Adapt and implement cutting-edge research methods to optimize and scale model performance in production.
• Build end-to-end pipelines for training, fine-tuning, distillation, and deployment of customized ML solutions.

• Possesses strong programming experience in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
• Has proven experience building robust, scalable ML systems, comfortable with CI/CD and model deployment.
• Familiarity with large language models (LLMs) or SLMs (e.g., OpenAI, Llama) and related frameworks (e.g., LangChain).

• Be at the frontier of AI in financial services, impacting real users and outcomes daily.
• Join a fast-scaling startup with $5M seed funding, established product-market fit, and hundreds of daily active users.
• Enjoy the freedom and responsibility to shape the direction of ML infrastructure and product integration.