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This is a Job Description for a Principal Machine Learning Engineer in Oxford, Mississippi

Summary: At CoreLogic, we are driven by a single mission---to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity, and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills, and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

 Duties & Responsibilities: Support model training and prediction using various types of machine learning techniques on structured/unstructured data, including imagery and text. Support deployment of large data. Support deployment of models using batch and API methods. Support multiple modalities such as spatial, 3D and audio. Perform work in a cloud-based Linux environment. Prepare and maintain programs and documentation for software. Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.

  Requirements and Qualifications[]{#Hlk142289191}[]{#Hlk142304825}:  Bachelor's Degree or higher in Computer Science, machine learning, science, math, statistics, engineering field, or equivalent work experience. 5+ years of HPC and/or MLOPS experience. Experience in high performance computing HPC -- e.g. BLAS, SIMD, Experience in distributed computing -- ray, spark, beam, Hadoop, AWS Batch, Kubernetes. Experience using python and/or C/ C++. Experience working in a cloud-based Linux environment. Experience processing very large datasets. Experience with pytorch, jax, Scikit-learn, mlflow, hugging face a plus. Experience deploying Deep Learning models, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP a plus. Experience using distributed training, e.g., DDP, FSDP, deep speed a plus. Publications or open-source contributions a plus. Real-time API processing, e.g., torch serve, bentoML a plus. Experience in multiple modalities, such as GIS/spatial, 3D and audio a plus. Strong problem solving and analytical ability. Strong communication skills. Ability to adapt to new concepts quickly and efficiently. Ability to thrive in a team environment. Strong working knowledge of multiple analytic development tools and programming languages. Demonstrated experience innovating

Equal Opportunity/Affirmative Action Employer.