Data Scientist I at Avathon in Pleasanton, CA

Summary: Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. As a Data Scientist I, you will develop and apply cutting-edge machine learning solutions for commercial and industrial applications, focusing on Generative AI and Large Language Models. Responsibilities: - Support the design, development, and deployment of machine learning and Generative AI solutions to solve complex business problems - Assist in building, fine-tuning, and optimizing Large Language Models (LLMs) and transformer-based architectures for real-world applications - Apply applied science methodologies to experimentation, model evaluation, and performance optimization - Contribute to developing scalable ML pipelines in collaboration with Engineering teams - Support prompt engineering, model evaluation, benchmarking, and testing for GenAI applications - Work closely with Product, Engineering, and Business stakeholders to translate requirements into data-driven AI solutions - Contribute to model governance, responsible AI practices, and production monitoring efforts - Stay current with advancements in Generative AI, LLM research, and applied machine learning Required Qualifications: - Master's degree (or Bachelor's with strong experience) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field - Minimum 1–3 years of hands-on industry experience (including internships or research) in data science, machine learning, or applied AI roles - Foundational experience with Generative AI frameworks and Large Language Models (e.g., exposure to transformer architectures, fine-tuning, or RAG concepts) - Proficiency in Python and familiarity with ML/AI libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face - Solid understanding of statistical modeling and model evaluation techniques - Exposure to deploying ML models or working in collaborative production environments - Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus - Strong analytical thinking and willingness to work on evolving, sometimes ambiguous problem statements - Good communication skills and ability to collaborate across teams - Industry exposure in one or more of the following domains is desirable: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy Preferred Qualifications: - Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems - Basic understanding of MLOps practices and model lifecycle management - Experience working on applied AI projects in academic, internship, or startup settings - Interest in industrial AI and asset-intensive environments Required Skills: Machine Learning, Generative AI, Large Language Models Important Skills: Python, Statistical Modeling, ML Engineering Nice-to-Have Skills: Cloud Platforms, Analytical Thinking, Industry Exposure, Communication Skills, Collaboration Benefits: Evolving culture with the opportunity to drive new ideas and technology, Stock Option Grants, Medical Coverage, and Parental Leave Plans, 401k with Employer Match, Monthly Technology Allowance, Newly renovated office space located near Pleasanton, CA — including fully stocked beverage and snack areas!