- Meta (New York, NY)
- …with working knowledge of core Machine Learning (ML) concepts (eg, LLMs, NLP , neural networks, model training, RAG architectures) 9. Experience managing a high ... volume of complex and ambiguous programs, with significant self-direction and structure recommendations 10. Demonstrated balance of creative and analytical thinking, putting forth clear and compelling vision, creative problem solving, and out of the box… more
- Amazon (New York, NY)
- …high-performance computing - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, ... learning techniques. - Scientific publication track record at top-tier AI/ML/ NLP conferences or journals Preferred Qualifications - Demonstrated experience with… more
- Oracle (Albany, NY)
- …author in top-tier conferences or journals. + Extensive experience in deep learning, NLP , and Agentic AI. + Proven track record of leading research and development ... projects. + Strong understanding of machine learning algorithms and architectures. + Excellent problem-solving and analytical skills. + Strong leadership and communication abilities. If you are passionate about pushing the boundaries of GenAI, Analytics, and… more
- Meta (New York, NY)
- …years of experience, or PhD + 6 years of hands-on experience in large language models, NLP , and Transformer modeling, within both research and engineering ... development settings 14. Significant experience developing comprehensive evaluation frameworks for LLMs, multimodal models, or agentic systems 15. Expertise in online measurement, user-behavior modeling, counterfactual analysis, and A/B testing platform design… more
- Meta (New York, NY)
- …for this role. The ideal candidate will be multi-lingual, have an interest in NLP and/or conversational AI systems and being at the cutting edge of their ... models 18. Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets,… more
- Meta (New York, NY)
- …implement, and evaluate novel, systemic, and foundational safety techniques for large language models and multimodal AI systems 2. Create, curate, and analyze ... or a relevant technical field 9. 3+ years of industry research experience in LLM/ NLP , computer vision, or related AI/ML model training 10. Experience as a technical… more
- Meta (New York, NY)
- …6. 12+ years of, or PhD + 8 years of hands-on experience in large language model, NLP , and Transformer modeling, in the setting of both research and ... engineering development 7. Experience and track record of landing large research and/or product impacts in a time-sensitive environment 8. 2+ years of people-management experience leading research scientists or applied scientists 9. Proven technical vision in… more
- Intuit (New York, NY)
- …data analysis and modeling with huge data sets + Apply data mining, NLP , and machine learning (both supervised and unsupervised) to improve relevance and ... personalization algorithms + Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products + Discover data sources, get access to them, import them, clean them up, and make them "model-ready".… more
- Genentech (New York, NY)
- …+ Help define and implement interfaces between structured scientific data and natural - language model inputs and outputs. + Participate in the evaluation ... **The Position** **2026 Summer Intern - Large Language Models (Prescient Design / AI for Drug...maintainable code. + Solid understanding of machine learning or NLP fundamentals, including model training and evaluation concepts. +… more
- IBM (New York, NY)
- …through evaluation. * Apply foundational techniques in GenAI, traditional ML, NLP , predictive analytics, or related areas where appropriate. * Collect, clean, ... as NumPy, Pandas, scikit-learn, matplotlib, Seaborn, etc.Introductory awareness of large language models (LLMs) and generative AI. Strategic and Analytical Skills: *… more