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Join Hines Health Services Inc. as a Machine Learning Resident for a 6-month term to innovate in job matching and medical staffing through the application of ML and LLMs. Work collaboratively with a team of experts while being mentored by top minds in AI. This is a paid residency that will be undertaken over a 6-month period with the potential to be hired by our client, Hines Health Services, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.
Job Responsibility:
Design, implement, optimize, and evaluate models to perform NLP tasks (summarization, information extraction, semantic comparisons, etc.)
Prepare, curate, and preprocess high-quality datasets for training and validating models
Utilize state-of-the-art LLM and ML frameworks, tools and open-source libraries to enhance model performance, accelerate workflows, and optimize data processing
Undertake applied research on ML and LLM techniques to address the limitations in existing models
Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities
Collaborate with the project team and stakeholders to develop MVP and client focused solutions
Engage in regular client meetings, contributing to presentations and reports on project progress
Support the productionalization and deployment of models in client environment
Requirements:
Completion of a Computer Science (or a related scientific graduate degree program) MSc. or PhD
Research or project experience in machine learning, specifically using NLP/LLM tools and techniques
Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace, Langchain, Llamaindex)
Solid understanding of classical statistics and its application in model validation
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
Nice to have:
Familiarity with and hands-on experience with unstructured data
Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically LLM work or applied ML applications)
Experience/familiarity with software engineering best practices
Experience with deploying machine learning models in production environments or strong software engineering (or MLE) skills is a plus
Desire to take ownership of a problem and demonstrate leadership skills
Interdisciplinary team player enthusiastic about working together to achieve excellence
Capable of critical and independent thought
Able to communicate technical concepts clearly and advise on the application of machine intelligence
Intellectual curiosity and the desire to learn new things, techniques, and technologies
What we offer:
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
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)