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. As a Senior Applied Scientist, you will lead end-to-end applied research projects that drive product innovation in legal intelligence, tax automation, or regulatory compliance. You will translate business challenges into technical solutions, determine feasibility, and deliver scalable AI capabilities. This role includes mentoring scientists and influencing technical direction within your team, while starting to grow and scale your impact.
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
You’re a fit for the role of Senior Applied Scientist if your background includes:
- A 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
Skills
You should have:
- Strong problem-solving and analytical skills
- Ability to work independently and as part of a team
- Excellent written and verbal communication skills
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Knowledge of natural language processing (NLP) and information retrieval (IR)
- Experience with data science and machine learning methodologies
- Ability to communicate technical concepts to non-technical stakeholders
Benefits
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. What’s in it For You?
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact
- Making a Real-World Impact
Pay
The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role 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
Our use of AI within the recruitment process: Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.