We envision a world where anyone can write without limits. Together, our companies—QuillBot, Scribbr, and LanguageTool—are on a mission to make written communication in any language better and more efficient. If you’re passionate about using technology to help people connect across cultures, join us.
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
- 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
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!
This role is eligible for hire in India.
We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation.
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Course Hero Toronto, Ontario, CAN Office
Toronto, Canada
