March 15
🏢 In-office - San Francisco
• Design and implement large-scale data pipelines to optimize precision + recall, dependability, and processing speed • Lead training and orchestration of multi-agent LLMs systems, including model fine-tuning and creation of custom embeddings • Develop and extend our experimentation platform for internal tools and projects • Collaborate closely with a multidisciplinary team of AI researchers, chemists biologists, fostering an environment of innovation and discovery
• Experience working with data and ML systems: EDA, feature engineering, model development, model deployment, and validation in production systems • Familiarity with modeling in PyTorch, Jax or equivalent framework • Demonstrated experience with experimentation in academic or industry settings • Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack
• Competitive salary • Flexible time off • Comprehensive health, dental, and vision insurance for you and your dependents
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