Machine Learning Resident
6 months ago
Taher Abbasi, Machine Learning Scientist and Mara Cairo, Product Owner, Advanced Technology
**About the Role**
**About the Client**
Clio is the world's leading provider of cloud-based legal technology, providing lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. It redefines how lawyers manage their firms by equipping them with the tools they need to run their firms securely from any device, anywhere.
**About the Project**
You will play a crucial role in contributing to the development of Clio's AI platform. As part of this project you will work on the design and implementation of various models within the platform. These models will aim to enhance our customers’ ability to better understand and expedite their casework. You will work with an extensive collection of legal documents, utilizing LLMs to identify and highlight essential information. This information will be presented to Clio users through personalized AI-driven workflows, as a way to improve efficiency and effectiveness.
**Required Skills / Expertise**
Are you passionate about building great solutions? You’ll be presented with opportunities to both personally and professionally develop as you build your career. We’re looking for a talented and enthusiastic individual with a solid background in machine learning, specifically NLP, LAMs and LLMs.
**Key Responsibilities**:
- Design, implement, and optimize ML algorithms for both predictive modeling and Natural Language Processing (NLP) tasks (summarization, Q&A, etc.)
- Identify, prepare, and optimize large structured and unstructured datasets for ML training
- Conduct applied research on ML techniques, with a focus to understanding and addressing the limitations of existing models
- Collaborate with project team and stakeholders to develop minimum viable products (MVPs) and client focused solutions
- Engage in regular client meetings, contributing to presentations and reports on project progress
- Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
- Support the productionalization and deployment of models in client environment
**Required Qualifications**:
- Completion of a graduate level program or higher (M.S./Ph.D) in Computer Science, ML or Engineering
- Research or project experience in machine learning, specifically using NLP tools and techniques
- Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, PyTorch, Pandas, Tensorflow, JAX)
- Familiarity with linux, Git version control, and writing clean code
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
**Preferred Qualifications**:
- Proficiency in handling large datasets, data preprocessing, and data visualization.
- Hands-on experience with machine learning projects, demonstrating the ability to design, implement, and evaluate models.
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically NLP or Generative AI)
**Non-Technical Requirements**:
- Desire to take ownership of a problem and demonstrated leadership skills
- Interdisciplinary team player enthusiastic about working together to achieve excellence
- Capable of critical and independent thought
- Intellectual curiosity and the desire to learn new things, techniques, and technologies
**Why You Should Apply**
Besides gaining industry experience, additional perks include:
- Work under the mentorship of an Amii Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
- Build your professional network
- The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)
**About Amii**
One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
**How to Apply
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