NLP Scientist

byte-code spa; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company in AI-driven robotics is seeking an AI Engineer with expertise in Natural Language Processing. The role involves developing scalable systems and collaborating with teams to innovate AI applications. Strong software engineering skills and communication abilities are essential.

Qualifications

• 5+ years of software development experience, ideally in Python.
• 3+ years of experience in Natural Language Processing (NLP).

Responsibilities

• Develop and deploy AI-driven robotics solutions.
• Collaborate with engineering and leadership teams.

Skills

Python

Natural Language Processing

Communication

Education

Master's or PhD in Linguistics or Computational Linguistics

Job description

About Xaba

Xaba https://www.xaba.ai/ is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us in shaping the future of AI in robotics.

The Role
We are seeking an AI Engineer with strong software engineering skills and a focus on Natural Language Processing (NLP) to support the development and deployment of our AI-driven robotics solutions (https://www.xaba.ai). As a key member of the Xaba team, you will contribute to building scalable, production-grade systems, working in close collaboration with our engineering and leadership teams to bring innovative AI applications to life.

Technical Requirements:
- 5+ years of professional software development experience - ideally in Python - and software engineering best practices (OOP, design patterns, unit testing)
- 3+ years of hands-on experience in Natural Language Processing (NLP), including the development and application of techniques such as semantic analysis, information extraction, and named-entity recognition.
- Familiarity with the processes of collecting, cleaning, annotating, and generating datasets for NLP tasks.
- Technical understanding of deep learning models commonly used in NLP and ability to read, interpret, and apply findings from scientific literature in the fields of AI and NLP to guide implementation choices.
- Strong communication skills in English, both written and verbal.

Nice to Have:
- Experience deploying AI solutions in production environments.
- Hands-on experience with knowledge graphs, including their design, construction, or integration into NLP systems.
- Background in linguistics, computational linguistics, or a related engineering fields (Master's or PhD).

Location: Toronto, Canada.

Technical Requirements:
- 5+ years of professional software development experience - ideally in Python - and software engineering best practices (OOP, design patterns, unit testing)
- 3+ years of hands-on experience in Natural Language Processing (NLP), including the development and application of techniques such as semantic analysis, information extraction, and named-entity recognition.
- Familiarity with the processes of collecting, cleaning, annotating, and generating datasets for NLP tasks.
- Technical understanding of deep learning models commonly used in NLP and ability to read, interpret, and apply findings from scientific literature in the fields of AI and NLP to guide implementation choices.
- Strong communication skills in English, both written and verbal.