Senior ML Research Scientist
LawZero
Join to apply for the Senior ML Research Scientist role at LawZero
Join to apply for the Senior ML Research Scientist role at LawZero
We are seeking a Senior 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.
Key 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.
- 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.
- 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.
- 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.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
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Job function
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