Senior Applied Scientist

About the role

We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. This role includes mentoring scientists and influencing technical direction within your team, while starting to grow and scale your impact.

Responsibilities

• Lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance.
• Translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities.
• Mentor scientists and influence technical direction within your team.

Requirements

• PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning, or related field.
• 5+ years of hands-on experience building and deploying production IR, NLP, ML, or GenAI systems using modern techniques.
• Demonstrated experience leading end-to-end AI project delivery in collaborative, cross-functional environments.
• Outstanding technical judgment and evaluation expertise.
• Excellent communication skills with ability to influence technical direction.
• Experience developing novel methods for complex professional domains such as medical, tax, or law.
• Expertise in RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.
• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

Qualifications

• Passionate about applying AI and ML to solve real-world problems.
• Strong problem-solving skills and a track record of translating business challenges into technical solutions.
• Experience in leading and delivering AI projects in a collaborative environment.
• Ability to mentor and influence technical direction within your team.
• Proven track record of developing innovative solutions for complex professional domains.
• Experience with RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.
• Publications in relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

Skills

• Strong understanding of AI and machine learning principles and techniques.
• Experience with IR, NLP, ML, or GenAI systems.
• Excellent communication and interpersonal skills.
• Ability to influence technical direction and mentor others.
• Experience with RAG architectures, agentic frameworks, tool-using systems, or orchestration patterns.
• Publications in relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.

Benefits

• Hybrid Work Model: 2-3 days a week in the office depending on the role.
• Flexibility & Work-Life Balance: Flex My Way policies, including work from anywhere for up to 8 weeks per year.
• Career Development and Growth: Continuous learning and skill development through Grow My Way programming.
• Industry Competitive Benefits: Comprehensive benefit plans including health, dental, vision, disability, and life insurance, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
• Social Impact: Opportunities to get involved with pro-bono consulting projects and ESG initiatives.

Pay

The base compensation range for the role in any of the eligible US locations is $127,400 USD - $236,600 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.

Schedule

Hybrid Work Model: 2-3 days a week in the office depending on the role.