Stratum AI
Forward Deployed Machine Learning Engineer
Canada · Senior
Sponsorship not specifiedDetected 437 days ago
PythonFastAPIDynamoDBAWSAzureMachine LearningDeep LearningPyTorchNLPBusiness DevelopmentResearchCommunication
About the role
- This role will require extensive working with custom architectures on PyTorch.
- Previous experience working with PyTorch on complex Convolutional Neural Network, Graph Neural Network, and/or Transformers is expected.
- This is a remote-first position, with a preference for applicants based in Canada.
Responsibilities
- Conducting foundational research to design and implement more accurate AI resource modeling techniques that we can use for many different mining operations.
- Identifying new opportunities to improve mining operations (such as modelling other parameters) for a given client and getting their support in doing so.
Requirements
- Excellent proficiency in implementation of custom neural network architectures in Python (Pytorch).
- The ideal candidate will have hands-on experience with various neural network types
- Adept at working with a high degree of autonomy and initiative to solve complex problems.
Nice to have
- Ability to speak another language with high proficiency.
- AI Stack: Python & Pytorch
- Backend: Python (FastAPI) + Pydantic + DynamoDB
- Infrastructure: AWS, Azure
- Our 3D maps predict how gold, silver, copper, etc. are distributed (and how much!) using only small amounts of data, unconventional data processing, and proprietary ML protocols.
- Our work directly affects how much money a mine is going to make next week/month/year while reducing waste/cost.
- We're supported by Founders Fund, Aramco, Builders VC, Y Combinator, and Ilya Sutskever, former Chief Scientist at OpenAI, who have recognized the potential of our industry-disrupting technology.
Benefits
- We're Stratum, a mining software company with machine learning models as our core product.
- Our long-term vision is to build a massive AI engine capable of making every decision in a mining operation, down to moving individual rocks.
- If you're an exceptional engineer interested to helping make this vision a reality we look forward to reviewing your application and working together.
- Adapt Stratum's deep learning models to a given mine.
- Develop and maintain high-quality machine learning code using Python.
- Unlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general
- 2+ years of industry machine learning experience.
- Strong foundational knowledge of deep learning with an emphasis on transformers, convolutional neural networks, and/or graph neural networks.
- You will be responsible for conveying to other non-machine learning engineers in the mining industry why our models are good.
Company info
- We are looking for a Forward Deployed ML Engineer, with an interest in solving difficult real-world problems to join our Technical Services team.
- This role is equivalent to the Delta team Forward Deployed Engineer role at Palantir that we would recommend you read up on.
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This listing is sourced directly from Stratum AI's careers page and normalized into a canonical job model.