You will be part of the pioneer team of an up-and-coming startup
Onsite, Central West
We are seeking an AI/ML expert with a strong background in engineering and applied research to help develop our foundational logical reasoning AI system. The ideal candidate will have extensive experience in AI/ML, having worked with various neural network architectures and model training techniques across different modalities. A solid track record in graphs, ML-based code synthesis, and real-world engineering applications is highly desirable.
Responsibilities
- Design, develop, deploy, and evaluate innovative machine learning models and algorithms for theorem proving to advance logical reasoning in AI.
- Apply diverse ML techniques, including supervised, unsupervised, and reinforcement learning.
- Handle large datasets by preprocessing, cleaning, and transforming data for model training and evaluation.
- Implement data pipelines and ETL processes to ensure smooth data flow and accessibility.
- Design and execute experiments, analyze results, develop metrics and benchmarks, and optimize machine learning model performance.
Requirements
- Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of experience in machine learning, AI, or related fields.
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Expertise in deep learning architectures and techniques, particularly across domains like vision, natural language, and graphs; additional experience with other neural network architectures (e.g., symbolic, GraphML) is a bonus.
- Experience with program/code synthesis or models focused on systems design generation.
- Demonstrated application of ML to various real-world engineering use cases.
- Familiarity with cloud platforms and ML toolkits, including containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
- Contributions to open-source projects in the machine learning or AI communities.