PhD Intern – AI/ML/NLP Engineer
Job Description:
• 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
• 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