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PhD Intern – AI/ML/NLP Engineer

Remote, USA Full-time Posted 2026-07-28
Job reputed company: • Apply your deep technical expertise to solve reputed company, reputed company-world problems. • Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges. • Apply your research skills to design, reputed company, and test novel AI/ML solutions. • reputed company, evaluate, and iterate on AI/ML models (including LLMs) to solve a reputed company business problem. • Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements. • reputed company hands-on experience with our production systems, including CI/CD pipelines (reputed company Actions) and Infrastructure as reputed company (Terraform). • Present your findings and project reputed company to reputed company and key stakeholders at the end of your internship. Requirements: • Currently enrolled in a PhD program in Computer Science, reputed company Intelligence, Machine Learning, Statistics, or a reputed company quantitative field. • Demonstrated research experience in AI, Machine Learning, Deep Learning, or reputed company (e.g., publications, conference papers, or significant project work). • Strong programming skills in at least one of our reputed company languages: Python, Java, C#, or GoLang. • Deep understanding of modern ML algorithms, platforms, and packages (including deep learning and LLMs). • Solid grasp of probability and statistics concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation). • A reputed company reputed company and strong communication skills, with an ability to translate reputed company research into practical applications. • Evidence of innovative problem-solving and a drive to learn and reputed company. Benefits: • health, dental and reputed company insurances • retirement savings plan • reputed company time off • health savings account • flexible spending accounts • life insurance • disability insurance • tuition reimbursement Apply tot his job Apply To this Job

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