- Meta (New York, NY)
- …6. Ph.D. in machine learning, AI, computer science, electrical engineering, statistics , applied mathematics , data science, signal processing, optimization or ... related technical fields 7. Proven track record of publication demonstrating experience in research 8. Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB) **Preferred Qualifications:** Preferred Qualifications: 9. Experience with… more
- Meta (New York, NY)
- …scientific computing (eg SciPy ecosystem) 10. Experience with quantitative methods ( mathematics , statistics ) and experience acquiring new technical knowledge and ... Computer Engineering, relevant technical field, or equivalent practical experience 6. PhD in the field of machine learning, computer science, robotics, computational… more
- Meta (Albany, NY)
- …7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics / Mathematics 8. Experience with developing machine learning models at ... scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of… more
- Meta (New York, NY)
- …PyTorch, TensorFlow, Scikit-learn, Pandas) 9. Proficiency with quantitative methods ( mathematics , statistics ) and experience learning new technical knowledge ... Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in one of the following fields: artificial intelligence, machine learning,… more
- Meta (New York, NY)
- …processing and/or human-computer interaction 17. Proficiency with quantitative methods ( mathematics , statistics ) and experience learning new technical knowledge ... the time of hire and maintain ongoing work authorization during employment 15. PhD in one of the following fields: deep learning, artificial intelligence, machine… more
- Meta (New York, NY)
- …natural language processing, machine learning, reinforcement learning, computational statistics , applied mathematics and security/privacy. Our interns ... have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:**… more
- Nuveen Investments (New York, NY)
- …or related fields + Bachelor's degree in a quantitative discipline ( Mathematics , Statistics , Physics, Computer Science, Finance, Economics, Actuarial Science, ... degree (MBA, MS, MA in relevant field) + CFA, FRM, ASA, FSA, PhD , CPA, or other relevant professional certifications **TECHINCAL SKILLS:** + Advanced Excel… more
- Genentech (New York, NY)
- …Computer Science, Machine Learning, Data Science, Bioinformatics or Computational Biology, Statistics , Applied Mathematics , Physics, or a related quantitative ... field **Required Skills:** + Strong programming skills, particularly in Python, with experience writing clean and maintainable code. + Solid understanding of machine learning or NLP fundamentals, including model training and evaluation concepts. + Experience… more
- JPMorgan Chase (New York, NY)
- …experience; Advanced degree in Data Science, Computer Science, Operations Research, Mathematics , Statistics , Engineering or equivalent quantitative field. + ... Experience in developing Artificial Intelligence, optimization, and/or statistical models to solve real world problems (eg Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling). + Proficiency in SQL and at… more
- Suny Polytechnic Institute (Utica, NY)
- …+ Ph.D. in computer science or a related field (eg, engineering, applied mathematics , statistics ) awarded within the past 5 years. + Strong theoretical ... understanding and practical experience in machine learning, foundation models, and AI techniques. Specifically, includes working with large language models, quantizing model parameter weights, utilizing parameter sparsity for pruning, and distilling smaller… more