Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth.
Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework.
Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI.
Partner with engineering, product, and design teams to build robust, scalable real-time APIs.
Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.

You have a Master’s or Ph.D. in a computer science or quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
You have 10+ years of experience in machine learning & engineering, with a focus on large-scale distributed application architecture for deploying ML models to production.
You are an expert in machine learning deployment, API development, and real-time ML workloads.
You are proficient in Python and comfortable diving deep into technical challenges alongside your team.
You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

The salary band for this position ranges from $250,000-$325,000, commensurate with experience and performance.
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

Director – Artificial Intelligence, Machine Learning

Key skills