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Senior AI Research Engineer (Quillbot)
Course Hero
Software Engineering, Data Science
Indianapolis, IN, USA · Remote
Posted on Nov 19, 2024
QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo.
Ideal Candidate:
- Undergraduate or Master's degree in computer science, artificial intelligence, or a related field, or equivalent experience.
- 2-4 years of hands-on experience in natural language processing and machine learning from prior work experience, course projects, or independent work.
- Strong knowledge of Python and deep learning toolkits (PyTorch, HuggingFace, etc.).
- Experience training neural network models (language models, sequence-to-sequence models, classifiers, etc.) for natural language processing.
- Passion for artificial intelligence, natural language processing, and machine learning.
- Strong command of the English language.
- Preferred: knowledge of one or more of the following languages: German, French, Dutch, Spanish, Portuguese.
Responsibilities:
- Design and build solutions for natural language technologies, including paraphrasing, grammar checking, proofreading, summarization, and translation.
- Survey, choose, and implement methods from natural language processing and machine learning to solve problems of interest.
- Optimize solutions by modifying training recipes, performing extensive experiments, analyzing results, and iterating rapidly.
- Develop internal tools to facilitate AI component development that are easily usable and extendable by others.
- Conduct data analysis to identify ways to improve solutions and diagnose issues.
- Contribute ideas to other AI teams working on a range of problems in artificial intelligence.
- Read literature in natural language processing and machine learning, understand strengths and weaknesses of novel methods, and identify potentially useful methods for problems of interest.
Benefits & Perks:
- Competitive salary
- Equity/stock options
- Annual performance bonus
- Health insurance coverage (7 Lacs for self and family)
- Life Insurance 3X the CTC
- Accidental Insurance 3X the CTC
Learning
- Learning and Development Policy Reimbursement of Courses
Flexibility
- Privilege Leave
- Paid Leaves
- Casual Leaves
- Mandatory Leaves
- Special Leaves
- Flexible Holiday
- Menstrual Leaves
- Maternity Leaves & Flexible Paternity Leave
- Compassionate Leave
- Marriage Leave
Work From Home
- Workstation Setup Reimbursement
- Internet Bill Reimbursement
- Remote Friendly culture
Fun
- Quarterly team and city meetings
- Annual Workations
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