| JOB POSTING INFORMATION | |||||||||
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| Position Type: | Professional Experience Year Co-op (PEY Co-op: 12-16 months) | ||||||||
| Job Title: | Machine Learning Developer | ||||||||
| Job Location: | Toronto | ||||||||
| Job Location Type: | Remote | ||||||||
| Number of Positions: | 1 | ||||||||
| Salary: | Salary Not Available, 40.0 hours per week | ||||||||
| Start Date: | 05/01/2024 | ||||||||
| End Date: | 08/31/2025 | ||||||||
| Job Function: | Engineering | ||||||||
| Job Description: |
We're Stratum, a mining software company with machine learning models as our core product. 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 (and extremely well-funded!) by the likes of Founders Fund, Builders VC, and Ilya Sutskever, the Chief Scientist at OpenAI who have recognized the potential of our industry-disrupting technology. We're at an inflection point where mining companies are coming to us; we are looking for an adaptable and capable Machine Learning Developer to join our startup's technical team and help us meet this demand! You'll be joining a diverse team of engineers and data scientists to work on building, improving, and maintaining end-to-end machine learning systems. If you are interested on building tools specifically for machine learning deployed in a legacy industry and want to explore novel applications of deep learning that are directly applied to clients, then this is the role for you. To do this job successfully, you need exceptional skills in data science, strong software engineering skills, and a healthy dose of curiosity to learn new things on the fly. Interest in working at a growing startup is a must! Responsibilities - Build tools to assess model performance with different datasets and use cases - Improve testing framework for entire machine learning training pipeline (preprocessing to evaluation) - Work on the deployment pipeline including automating preprocessing, performance blind testing, and model inference - Produce and improve sections of Stratum's core services (like cross sections and drillhole simulator) - Update and evaluate performance of machine learning models that have new data introduced - Engage and collaborate with other teams as first versions of core services are made available to clients *Example of co-op project: Research and implement optimization algorithms for mixing AI model predictions in an ensemble; building out an analytics engine for monitoring the predictions of a model in production and reporting to a frontend |
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| Job Requirements: |
Required Skills - Experience working with machine learning in computer vision, NLP, recommender systems, or scientific applications - Strong background in probability, machine learning, and data science - Strong experience with data analysis/processing libraries such as pandas and numpy - Ability to write robust code in Python - Experience with ML frameworks/libraries (Tensorflow, PyTorch, Jax, sk-learn) - Excellent communication skills for both technical and non-technical audiences - Self-learner and motivated to pick up new skills Nice to Have - Previous experience working at startups - Familiarity with Git, experiment tracking tools (WandB, Comet, etc.) - Experience working on production machine learning using tools such as KubeFlow, MLFlow, AirFlow, Seldon Core, DVC, Spark, etc. - Written/oral fluency in a language besides English |
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| Preferred Disciplines: |
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| All Co-op programs: | No | ||||||||
| Targeted Co-op Programs: |
Targeted Programs
Professional Experience Year Co-op (12 - 16 months)
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| APPLICATION INFORMATION | |
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| Application Deadline: | Oct 1, 2023 11:59 PM |
| Application Receipt Procedure: | Online via system |
| If by eMail, send to: | farzi@stratum.ai |
| Additional Application Information: | We provide a competitive startup salary and have the freedom to work anywhere with a strong preference of 3 hour time difference max from EST. |
| U of T Job Coordinator: | Marlyn de los Reyes |
| ORGANIZATION INFORMATION | |
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| Organization: | StratumAI |
| Division: | Main Division |
| Website: | www.stratum.ai |
| ADDITIONAL INFORMATION | |
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| Length of Workterm: | FLEXIBLE PEY Co-op: 12-16 months (range) |