Lead Machine Learning Engineer at AdvisoryAI
Role details
Job location
Tech stack
Job description
This is a job that Jill is helping to recruit for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role and help you find others if you ask., Job Description: 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., Be at the frontier of AI in financial services, impacting real users and outcomes daily.
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Join a fast-scaling startup with $5M seed funding, established product-market fit, and hundreds of daily active users.
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Enjoy the freedom and responsibility to shape the direction of ML infrastructure and product integration.
What you will do:
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Collaborate with product, engineering, and research teams to design, execute, and evaluate AI experiments.
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Adapt and implement cutting-edge research methods to optimize and scale model performance in production.
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Build end-to-end pipelines for training, fine-tuning, distillation, and deployment of customized ML solutions.
Requirements
Possesses strong programming experience in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
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Has proven experience building robust, scalable ML systems, comfortable with CI/CD and model deployment.
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Familiarity with large language models (LLMs) or SLMs (e.g., OpenAI, Llama) and related frameworks (e.g., LangChain).