Applied Scientist – Research Products

TRSS; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A prominent legal technology company in Toronto is seeking an expert to manage the model development lifecycle and innovate AI capabilities. The role requires a PhD or Master's degree and experience in natural language processing systems. Strong communication and problem-solving skills are essential. The position offers a hybrid work model with opportunities for career growth and a comprehensive benefits package.

Benefits

Flexible vacation

Mental health days

Tuition reimbursement

Comprehensive benefits package

Qualifications

• Experience researching, building, and evaluating natural language processing (NLP) systems.
• Strong engineering skills for prototyping and familiarity with remote development workflows.
• Ability to effectively communicate AI concepts to a diverse audience.

Responsibilities

• Manage the end-to-end model development lifecycle.
• Innovate by thinking creatively about AI capabilities.
• Collaborate with stakeholders to translate business objectives.

Skills

Strong communication skills

Problem-solving skills

Analysis skills

Education

PhD or Master’s in a relevant discipline

Tools

AWS

Azure

Job description

Employer Industry: Legal and Tax Technology Solutions

Why consider this job opportunity:
- Hybrid work model with flexibility to work from home 2-3 days a week
- Flexibility & work-life balance with supportive workplace policies and the ability to work from anywhere for up to 8 weeks per year
- Opportunities for career development and growth through continuous learning and skill development programs
- Comprehensive benefits package including flexible vacation, mental health days, retirement savings, and tuition reimbursement
- Award-winning culture recognized for inclusion, belonging, and strong values
- Chance to make a real-world impact by helping customers pursue justice, truth, and transparency

What to Expect (Job Responsibilities):
- Manage the end-to-end model development lifecycle including task design, data creation, training, evaluation, and model governance
- Innovate by thinking creatively about new capabilities generative AI can unlock for customers
- Collaborate with stakeholders to define project scope and translate business objectives into technical requirements
- Develop functional proofs of concept (POCs) to test new capabilities and product concepts
- Write clean code and participate in code reviews to ensure well-managed software delivery in a production environment

What is Required (Qualifications):
- PhD or Master’s in a relevant discipline
- Experience researching, building, and evaluating natural language processing (NLP) systems
- Strong engineering skills for prototyping and familiarity with remote development workflows (AWS, Azure, or similar)
- Excellent communication, problem-solving, and analysis skills
- Ability to effectively communicate AI concepts to a diverse audience

How to Stand Out (Preferred Qualifications):
- Experience designing and implementing solutions with large language models
- Relevant publications in leading conferences such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar
- Experience writing production code and ensuring well-managed software delivery

#LegalTech #AIInnovation #CareerGrowth #HybridWork #NLP #SocialImpact

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