Machine Learning Resident - Client: MiddleAI (5 months)
Machine Learning Resident - Client: MiddleAI (5 months)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Come work with us to explore innovative applications of LLMs in automating workforce management scheduling and customer support. Be a part of the team of research and machine learning scientists building deployable real-world ML applications from ground up and get mentored by some of the best minds in AI during the process.
- Atefeh Shahroudnejad & Soumik Farhan Machine Learning Scientists and Adam Danyleyko Product Owner Advanced Technology
About the Role
This is a paid internship that will be undertaken over a five-month period. The Intern 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.
About the Client
MiddleAI is an Alberta-based startup that is proud to have partnered with both Amii and AWS to commercialize groundbreaking new Generative AI Action models. Our research focus has been primarily on ethical goal-based multi-agent ecosystems that can reason and take action autonomously on behalf of Large Workforce Companies.
About the Project
As our name suggests we are aiming to be the middleware between existing systems; much like humans often are in the corporate machine. You will join a team of like-minded self-motivated nerds focussed on solving a narrow use case related to managing large workforces scheduling and internal customer support.
Armed with our proprietary dataset and an armful of Compute Credits youll work with us to build the future of work for middle managers everywhere. We work in Python and are currently leveraging Bedrock Pinecone and Caffeine.
Required Skills / Expertise
Are you passionate about building great solutions Youll be presented with opportunities to both personally and professionally develop as you build your career. Were looking for a talented and enthusiastic individual with a solid background in machine learning specifically NLP and LLMs.
Key Responsibilities:
- Design and implement LLM-powered pipelines using techniques like RAG and LLM Agents to automate decision-making in workforce management.
- Identify prepare and optimize large structured and unstructured datasets for ML training
- Conduct applied research on ML and LLM techniques with a focus on understanding and addressing the existing challenges
- 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 Langchain Llamaindex)
- 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:
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning (specifically LLM work or applied ML applications)
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
- 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
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 clients organization at the end of the term (at the clients discretion)
About Amii
One of Canadas 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 worlds 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
If this sounds like the opportunity youve been waiting for please dont wait to apply - were excited to add a new member to the Amii team for this role and the posting will remain open until a suitable candidate is found! When sending your application please send your resume and cover letter indicating why you think youd be a fit for Amii. In your cover letter please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity religion gender identity sexual orientation age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.
Employment Type
Full-Time
