Principal Machine Learning Scientist

First American Financial - Austin, TX

Full-time - Mid Level

Austin, TX

1,001-5,000 employees

Insurance Carriers and Related Activities

About the position

The position at CoreLogic involves joining a hybrid-remote team focused on diverse AI projects, including traditional machine learning and advanced techniques such as imagery and large language models (LLM). The role emphasizes ownership, continuous learning, and collaboration, with a strong focus on model training, validation, and deployment in a cloud-based environment.

Responsibilities

• Perform model training and validation using various machine learning techniques on structured and unstructured data, including imagery, text, and graphs.
• Support deployment of models in a cloud-based Linux environment.
• Present model performance to clients and prospects.
• Provide pre-sales and post-sales analytic support and interact with both internal and external clients and prospects.
• Create model reports for client review and maintain model documentation.
• Conduct defined quantitative and qualitative research projects independently and communicate research results to stakeholders.
• Take a team leadership role in developing and refining an analytics development platform.
• Mentor and train junior colleagues.

Requirements

• Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.
• 5+ years of related modeling building experience.
• Experience in Deep Learning techniques such as Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.
• Proficiency in Python and/or C/C++ with libraries such as PyTorch, JAX, Scikit-learn, MLflow, and Hugging Face.
• Experience supporting multiple modalities such as spatial, 3D, and audio.
• Experience working in a cloud-based Linux environment.
• Experience using distributed computing techniques such as DDP, FSDP, or DeepSpeed is a plus.
• Publications or open source contributions are a plus.
• Strong problem-solving and analytical abilities.
• Strong communication skills and ability to adapt to new concepts quickly.
• Ability to thrive in a team environment.
• Demonstrated knowledge of statistical techniques and multiple analytic development tools.

Nice-to-haves

• Experience with distributed computing techniques.
• Publications or contributions to open source projects.

Benefits

• Competitive salary and benefits package.
• Empowered work environment that encourages creativity and professional growth.