Description
:Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do!
Job 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.
Receives general direction and is competent to perform nearly all aspects of the job independently.
Work may be done without established procedures as required to resolve issues.
Take a team leadership role in developing and refining an analytics development platform.
Mentor and train junior colleagues.
Job Qualifications:
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, huggingface 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, deepspeed a plus.
Publications or open source contributions a plus.
Real-time API processing, e.g. torchserve, 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 quickly and efficiently adapt to new concepts.
Ability to thrive in a team environment.
Strong working knowledge of multiple analytic development tools and programming languages
Demonstrated experience innovating
#LI-Remote
Annual Pay Range:
132,600 - 200,000 USDApplication Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2024-08-14CoreLogic benefits information can be found here: . Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.
CoreLogic's Diversity Commitment:
CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
EOE AA M/F/Veteran/Disability:
CoreLogic is an Equal Opportunity/Affirmative Action employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. CoreLogic maintains a Drug-Free Workplace.
Principal Machine Learning Engineer • Milwaukee, WI
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