ML Research Scientist
External
Lawzero · Montreal, CanadaFull-timeOn-site2mo ago
ComplianceDeep LearningMachine LearningPythonPyTorchSAFe
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Responsibilities
- Propose, design, and implement novel ML models tailored to solve complex AI safety problems.
- Collaborate with mathematicians and other specialized research scientists to integrate theoretical advancements into practical ML algorithms and models.
- Adapt and fine-tune existing frontier models to enhance their applicability to specific settings.
- Design and implement experimental protocols and evaluation frameworks to validate hypotheses and ensure robust and reproducible results, including at the scale and complexity of frontier models.
- Analyze and interpret experimental data in order to steer future research questions and objectives.
- Benchmark and optimize model performance and efficiency along with ML engineers to ensure the optimal usage of computing resources over the course of long experiments.
- Communicate findings and synchronize work with other researchers and engineers.
- Required skills and qualifications
- Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
- 3-5 years of experience in deep learning research projects, in particular with frontier models.
- Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a variety of complex scenarios that involve, for example, transfer learning, domain adaptation, or meta learning.
- Expertise in the integration and use of ML libraries such as PyTorch, TensorFlow, or JAX for the development, training, and evaluation of ML models, ideally in distributed computing environments.
- Strong experience in Python software development, in the use of version control, collaboration tools, and experiment management and tracking tools.
- Strong communication skills, both written and verbal, with the ability to exchange ideas with researchers across different disciplines.
- Ability to work collaboratively in a team environment while also being self-motivated and independent.
- Preferred skills and qualifications
- Experience analyzing the behavior of frontier models in safety-critical contexts.
- Experience in the design and development of model alignment strategies or benchmarks.
- Experience with natural language processing or probabilistic graphical models.
- A track record of contributing to high-quality research projects in deep learning.
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 agenda. In this role, you will design and implement innovative ML models aimed at solving advanced AI safety problems.
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