G-P - AI, Intern
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Requirements
• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science or a related field • Strong proficiency in Python programming language, with experience in relevant AI and NLP libraries (e.g., TensorFlow, PyTorch, NLTK, spaCy) • Demonstrable passion for artificial intelligence, with a focus on generative AI and NLP • Familiarity with machine learning algorithms and concepts, such as supervised/unsupervised learning, deep learning, and neural networks • Strong analytical and problem-solving skills, with the ability to learn quickly and adapt to new technologies • Excellent written and verbal communication skills, with the ability to collaborate effectively in a team setting • Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) • Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile) • Previous experience with AI or NLP research or projects
Responsibilities
• Collaborate with our team of AI experts to develop and optimize generative AI and NLP models • Conduct research on state-of-the-art techniques and algorithms in the AI and NLP domain • Contribute to the design, implementation, and evaluation of novel AI and NLP solutions • Analyse and interpret data to improve model performance and efficiency • Assist in the documentation and presentation of research findings and project results • Participate in team meetings and contribute to the ongoing development of the team's goals and objectives • Execute automated and manual tests for AI systems, focusing on minimizing issues like hallucination. • Work with AI engineers and data scientists to troubleshoot and optimize AI/ML models and pipelines.
Benefits
• A 12-week, full-time, paid internship for a 3rd year student with the opportunity to work on real-world AI and NLP projects • A collaborative, supportive, and inclusive work environment where you can grow and learn from experienced professional • Access to state-of-the-art tools and resources to further your learning and development • The opportunity to contribute and make a meaningful impact in the AI industry • The annual gross base salary range for this position is $75,000 (prorated over 12 weeks) • Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: • Sales Roles: This position is eligible for a commission structure in addition to base salary. • Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. • G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. • Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job. • United States: California or Philadelphia • Pennsylvania, • G-P. Global Made Possible.
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