Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
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Machine Learning Resident – Client: Enriched Ag
Posted last month
About the role
- Machine Learning Resident at Enriched Ag focusing on vision AI for agriculture technology. Engaging in hands-on research and development with mentoring in a fast-paced environment.
Responsibilities
- This is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Enriched Ag, 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
- A core objective of this residency is to further develop and operate this model stack within a Canadian-controlled machine learning infrastructure, ensuring that data, pipelines, ground-truth generation and validation, model training, evaluation, and deployment are managed and scaled in Canada
- Engage in regular client meetings, contributing to presentations and reports on project progress
Requirements
- Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in vision AI and vision-language multimodal modeling
- Proficient in developing and training, fine-tuning and evaluating machine learning and deep neural network models in PyTorch and/or TensorFlow
- Solid experience with modern ViT and CNN models for real world visual recognition tasks (e.g. object detection, instance segmentation) and other related vision tasks (e.g. image retrieval, image captioning)
- Hands-on experience with foundational vision language models (e.g. CLIP, LLaVA)
- Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, TensorFlow, PyTorch, OpenCV, Pandas, HuggingFace)
- Familiarity with Linux, Git version control, and writing clean code
- Comfortable with quick prototyping in a business environment
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
Benefits
- 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)
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