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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