
Machine Learning Research Scientist
Moody's
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Collaborate with colleagues on production systems and applications
- Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace
- Work on POCs and research prototypes
- Provide thought leadership in machine learning
- Represent Moody’s Analytics at scientific and industry conferences
- Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR
Requirements
- Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience
- Publication record in top-tier academic conferences and journals
- Proficiency in modern programming languages such as Python
- Proficiency in leading research projects
- Experience with MLOps technologies and workflows (Nice to have)
- Experience in working with engineering teams on taking research prototypes to production (Nice to have)
Benefits
- Flexible work environment
- Remote work depending on one’s personal choice
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PyTorchscikit-learnTensorFlowHuggingFacePythonMLOpsalgorithmsmodelsresearch prototypesproduction systems
Soft Skills
collaborationthought leadershipcommunicationleadershiporganizational skills
Certifications
Ph.D. in CSPh.D. in MLPh.D. in MathPh.D. in StatisticsPh.D. in EngineeringPh.D. in Quant