PhD Intern – AI/ML/NLP Engineer

Job Description:

• Apply your deep technical expertise to solve complex, real-world problems.
• Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
• Apply your research skills to design, code, and test novel AI/ML solutions.
• Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
• Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
• Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
• Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

Requirements:

• Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Demonstrated research experience in AI, Machine Learning, Deep Learning, or Generative AI (e.g., publications, conference papers, or significant project work).
• Strong programming skills in at least one of our core 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 collaborative mindset and strong communication skills, with an ability to translate complex research into practical applications.
• Evidence of innovative problem-solving and a drive to learn and excel.

Benefits:

• health, dental and vision insurances
• retirement savings plan
• paid time off
• health savings account
• flexible spending accounts
• life insurance
• disability insurance
• tuition reimbursement

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