ML Research Scientist (probabilistic inference)
External
Lawzero · Montreal, CanadaFull-timeOn-site2mo ago
ComplianceDeep LearningMachine LearningPythonPyTorchReinforcement Learning
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Responsibilities
- Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
- Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
- Design evaluation strategies for methods that rely on probabilistic inference.
- Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
- Translate theoretical proposals into high quality implementations in a programming language such as Python.
- Analyze and interpret experimental results to steer future research directions.
- Communicate complex findings effectively to various stakeholders.
Requirements
- Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
- A minimum of 3 years of experience in deep learning research.
- Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
- Bayesian inference
- Sampling-based approximate inference methods
- Amortized inference methods (including variational inference methods or Generative Flow Networks)
- Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
- Reinforcement learning
- Optimal control
- Strong background in mathematics.
- Proven experience in developing and implementing machine learning models.
- Proficiency in programming languages such as Python, and experience with ML frameworks like PyTorch or TensorFlow.
- Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
- Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
- Track record of contributing to high-quality research in probabilistic inference or related fields.
- Ability to work collaboratively in a team environment while also being self-motivated and independent.
Benefits
The opportunity to contribute to a unique mission with a major impact.Comprehensive health benefits.A minimum of 20 days vacation per year upon start.A minimum retirement savings employer contribution of 4%.Generous flexible benefits designed to contribute to your well-being.A team of passionate experts in their field.A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.About LawZeroYou belong hereAt LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.Health insurancePaid time offFlexible schedule
Additional Information
We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.
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