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Senior Machine Learning Engineer
2 months ago
CuspAI is a pioneering AI company dedicated to revolutionizing the field of materials science through cutting-edge machine learning technologies.
We are a world-leading team of experts in AI research and development, materials science, and process design, driven by a shared mission to accelerate the discovery of next-generation materials addressing critical global challenges.
Job SummaryWe are seeking a highly motivated and experienced Machine Learning Engineer to join our team and play a crucial part in developing our cutting-edge ML-based software platform aimed at transforming materials science.
Key Responsibilities- Design, develop, train, and evaluate cutting-edge ML models for materials discovery and optimization in collaboration with our world-class research team.
- Develop tools to enable large-scale ML experiments across distributed computing systems, maximizing the use of available resources.
- Optimize model performance, scalability, and robustness for production use within our computational platform for materials analysis and prediction.
- Create innovative tools for material property prediction and design in partnership with domain experts, owning the process from rapid prototyping to production-quality code.
- Proven experience developing, training, and deploying large-scale ML models in distributed setups.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and orchestration tools like Kubernetes for large-scale ML model training and deployment.
- Expert understanding of modern Python and working knowledge of at least one other programming language.
- Familiarity with ML research and development.
- At least 3 years of experience developing software in a team.
- Bachelor's degree or higher in Computer Science, Materials Science, Physics, Chemistry, or a related technical field; equivalent practical experience considered.
- Passionate about combating climate change and driven to make a significant impact.
- Strong team player with excellent communication skills, thriving in collaborative and interdisciplinary environments.
- Knowledge of materials science, computational chemistry, or climate-related technologies.
- Strong knowledge of C++, CUDA, or other relevant languages.
- Contribution to open-source projects with a scientific computing and/or machine learning focus.
- Experience collaborating with research teams to prototype and productionize ML models for materials science or related fields.
- Expertise in data structures and algorithms, especially those relevant to materials informatics.
- PhD in Computer Science, Materials Science, Physics, Chemistry, or a related technical field; or equivalent practical experience.
