Remotery

PhD Intern – AI/ML/NLP Engineer

atWEXRemoteUS flagUnited StatesFull-timeUncategorizedEntry-level$35 – $43/hour

Posted Jun 10

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Leverage your advanced technical knowledge to address intricate, real-world challenges.

β€’ Work alongside senior engineers, product managers, and domain specialists to comprehend our customers' requirements and obstacles.

β€’ Utilize your research abilities to create, code, and test innovative AI/ML solutions.

β€’ Design, assess, and refine AI/ML models (including LLMs) aimed at resolving a fundamental business issue.

β€’ Examine current platforms to pinpoint limitations and suggest avenues for algorithmic or systems-level enhancements.

β€’ Acquire practical experience with our production systems, encompassing CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).

β€’ Share your insights and project results with the team and key stakeholders at the conclusion of your internship.


⛳️ Requirements

β€’ Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative discipline.

β€’ Proven research experience in AI, Machine Learning, Deep Learning, or Generative AI (e.g., publications, conference papers, or substantial project involvement).

β€’ Proficient programming skills in at least one of our primary languages: Python, Java, C#, or GoLang.

β€’ In-depth knowledge of contemporary ML algorithms, platforms, and libraries (including deep learning and LLMs).

β€’ Strong understanding of probability and statistical concepts (e.g., distributions, Bayesian inference, maximum likelihood estimation).

β€’ A collaborative attitude and excellent communication skills, with the capability to transform complex research into practical applications.

β€’ Demonstrated innovative problem-solving skills and a commitment to learning and achieving excellence.


🏝️ Benefits

β€’ Health, dental, and vision insurance

β€’ Retirement savings plan

β€’ Paid time off

β€’ Health savings account

β€’ Flexible spending accounts

β€’ Life insurance

β€’ Disability insurance

β€’ Tuition reimbursement

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