I am looking for an AI Engineer on a senior level with a blend of engineering and applied research experience to assist in the development of our foundational logical reasoning AI system.
You will stand out if you are available immediately or have 1 month or less of notice period and the following technical experience in:
- Large scale model training, multi-GPU training,
- Training large models with over 20B parameters
- Deep theoretical understanding of the transformers design and implementation.
- Programming Language Processing, training models for code generation
- Development of autonomous software development
Key Responsibilities
- Design, develop, deploy, and evaluate novel machine learning models and algorithms to address theorem proving as a foundation for developing logical reasoning in AI.
- Apply various ML techniques, including supervised, unsupervised, and reinforcement learning.
- Work with large datasets to preprocess, clean, and transform data for model training and evaluation.
- Implement data pipelines and ETL processes to ensure efficient data flow and accessibility.
- Design and conduct experiments, analyze results, develop metrics and benchmarks, and optimize the performance of machine learning models.
Experience & Qualifications:
- Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years in machine learning, AI, or related fields.
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with deep learning architectures and techniques across various domains, including vision, natural language, and graphs; a bonus for experience with other neural network architectures (e.g., symbolic, GraphML).
- Experience with program/code synthesis or models focused on systems design generation.
- Experience applying ML to various real-world and engineering use cases.
