Description:

Wealthsimple is seeking a Senior Data Scientist for their Data Products Team, focusing on large language models (LLMs) to enhance various business aspects.
The role involves utilizing LLMs to improve product offerings, customer service, and internal operations, making a significant impact on the company and its customers.
Responsibilities include taking end-to-end ownership of the model building lifecycle, from ideation to production deployment, ensuring innovative and reliable solutions.
Continuous learning and staying updated with trends in data science and fintech, particularly in LLMs and prompt engineering, is essential.
Collaboration with domain experts and cross-functional teams is required to identify opportunities for machine learning innovation and efficiency.
The position involves leveraging a state-of-the-art ML platform to monitor model performance post-production and manage model drift.
Software engineering best practices, such as version control and continuous integration, must be applied to ensure models are well-tested and maintained.
The role emphasizes simplicity and effectiveness in problem-solving, adhering to the principle of Occam's razor.
A culture of continuous learning and mutual success is encouraged, with opportunities to teach and learn from teammates.

Requirements:

Proven experience as a data scientist or machine learning engineer, specifically in Natural Language Processing (NLP), Reinforcement Learning (RL), or Large Language Models (LLMs) is required.
Proficiency in Python and familiarity with key data science and machine learning libraries and tools is essential.
Demonstrated experience in productionalizing ML models, with a track record of managing the full lifecycle of ML model development is necessary.
A deep understanding of large language models such as GPT-4, GPT4ALL, and Bloomchat, including their applications and limitations, is required.
Familiarity with LLM concepts like fine-tuning models and libraries such as Langchain and Kor is expected.
Solid knowledge of data engineering and preprocessing, including handling large datasets and managing data pipelines, is essential.
Comfort with software engineering best practices, including version control and collaborative development using Git, is required.
Strong problem-solving skills and the ability to think critically and creatively are necessary.
Excellent communication skills to convey complex ideas clearly to various audiences are essential.
Outstanding interpersonal skills to thrive in collaborative settings and contribute positively to team environments are required.
Familiarity with AI ethics and responsible AI practices, ensuring solutions are effective and ethical, is expected.

Wealthsimple offers a competitive salary along with top-tier health benefits and life insurance.
A retirement savings matching plan is provided through Wealthsimple Work.
Employees receive 20 vacation days per year, along with unlimited sick and mental health days.
Up to $1,500 per year is available for wellness and professional development budgets.
The company has a 90 days away program, allowing employees to work internationally in eligible countries for up to 90 days per calendar year.
A variety of peer and company-led Employee Resource Groups are available, promoting diversity and inclusion.
Company-wide wellness days off are scheduled throughout the year.
Wealthsimple operates as a remote-first team, providing flexibility and the opportunity to contribute to a significant Canadian success story.