AI/ML Engineer

Requirements:

• At least 2 years of experience in machine learning and/or data science, including a track record of putting ML systems into production.
• Strong knowledge of machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, PyTorch, Theano, or DyLib.
• Deep expertise in at least one of the following areas: search, retrieval, ranking, or recommendation systems; generative AI product development; LLM agent products; or LLM fine-tuning.
• Practical understanding of LLM limitations, including bias, hallucinations, and knowledge cutoffs.
• Experience at an early-stage startup or launching a product from zero to one.
• Ability to contribute to both research prototypes and production-grade engineering.
• Local Bay Area candidates are sought. Preferred colleges include MIT, UC Berkeley, Santa Clara University, Stanford, California State University, Harvey Mudd, and the University of San Francisco.
• The role is aimed at junior-to-mid-level candidates, with a preference for top-performing applicants.

Responsibilities:

• Design, train, and deploy machine learning models for large-scale production use.
• Develop LLM-based systems, including fine-tuning, agents, and evaluation pipelines.
• Partner with engineering and product teams to scope problems, establish success metrics, and create robust evaluation frameworks.
• Address LLM challenges such as bias, hallucinations, and knowledge cutoffs to improve system reliability and performance.
• Optimize models for latency, accuracy, and scalability in real-world applications.
• Contribute throughout product development, from research and deployment to ongoing iteration.

Technologies:

• AI
• Fine-tuning
• Keras
• LLM
• Machine Learning
• PyTorch
• TensorFlow

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We are hiring for a full-time, direct-hire AI/ML Engineer role based in Santa Clara, California. This opportunity suits someone who wants to build and deploy machine learning models at scale in an environment where research quickly becomes real-world systems.

last updated 44 week of 2026