Principal Machine Learning Scientist

First American Financial - San Diego, CA

Full-time - Mid Level

San Diego, CA

1,001-5,000 employees

Insurance Carriers and Related Activities

About the position

The position involves joining a hybrid-remote team at CoreLogic focused on diverse AI projects, including traditional machine learning and advanced imagery techniques. 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/unstructured data, including imagery, text, and graphs.
• Support deployment of models.
• Perform work 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 model documentation.
• Prepare and maintain programs and documentation for analytic models.
• Conduct defined quantitative and qualitative research projects independently and communicate research results to internal and external 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, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.
• Experience using Python and/or C/C++ with PyTorch, JAX, Scikit-learn, MLflow, Hugging Face.
• Support multiple modalities such as spatial, 3D, and audio.
• Experience working in a cloud-based Linux environment.
• Experience using distributed computing a plus, e.g. DDP, FSDP, DeepSpeed.
• Strong problem solving and analytical ability.
• Strong communication skills.
• Ability to quickly and efficiently adapt to new concepts.
• Ability to thrive in a team environment.
• Demonstrated knowledge of statistical techniques.
• Strong working knowledge of multiple analytic development tools, statistical tools, and programming languages.
• Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.

Nice-to-haves

• Publications or open source contributions a plus.

Benefits

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