Machine Learning Research Scientist

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Moody's

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Moody's is a global provider of data and insights, specializing in credit ratings, research, and risk management. The company serves a diverse range of clients including banking institutions, corporations, the buy-side, insurance companies, and public sector organizations. Moody's offers solutions for risk management, financial analysis, and compliance, leveraging technology such as artificial intelligence to optimize decision-making and help clients navigate uncertainty in financial markets.

📋 Description

• 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