Founding ML Engineer – On-Site

California

Machine Learning

Permanent

Our client, an innovative AI-driven startup, is hiring a Founding Machine Learning Engineer to join their team in California. The successful candidate will lead the ML Engineering function by leading advancements in model performance, cost efficiency and system reliability.

Responsibilities

As the Founding ML Engineer, you will work closely with the founders to develop and bring their model-routing technology into production.
Develop and implement innovative techniques, tools and architectures to improve the performance, latency, throughput and efficiency of deployed models.
Set up and maintain core infrastructure and best practices for model hosting, training and deployment.
Build and lead the Machine Learning Engineering team, cultivating a culture of innovation and excellence.

Skillset

Minimum of seven years of professional software engineering experience, specifically in ML Engineering.
Strong experience of modern ML architectures with a keen intuition for optimizing performance, especially for inference.
Expertise in deploying deep learning models, particularly LLMs in production environments.
Understanding of model evaluation literature, with hands-on experience in training reward models based on human or AI feedback or in using LLMs as evaluators.
Ability to take ownership of problems from start to finish and learn new skills as needed.
Skilled in determining when to use off-the-shelf solutions versus developing custom tools to enhance workflow efficiency.