Founding Machine Learning Engineer

A Series A AI/ML startup focused on model training and evaluation is hiring a Founding ML Engineer. In this hands-on role, you will design, train, and ship production-grade ML models, build end-to-end pipelines, and implement LLMs and generative models. You will work closely with the founding team to establish technical culture and infrastructure. The role is on-site in Mountain View, California.

• Build and optimize end-to-end ML pipelines, from data ingestion to deployment.
• Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
• Develop efficient training and inference systems leveraging distributed compute.
• Partner with data and product teams to translate ideas into measurable ML impact.
• Contribute to model monitoring, evaluation, and continual learning frameworks.
• Establish best practices in model versioning, reproducibility, and scalability.

• 3–10 years of hands-on experience as an ML Engineer, Applied Scientist, or Research Engineer.
• Proficiency in Python and at least one of PyTorch, TensorFlow, or JAX.
• Experience building production-grade end-to-end ML pipelines (data ingestion, training, deployment).
• Experience implementing and fine-tuning LLMs, embeddings, and generative models for real-world applications.