Senior Machine Learning Engineer

I am looking for senior level ML Engineer with deep interest in the R&D area 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
• Deep theoretical understanding of the transformers design and implementation.
• Programming Language Processing, training models for code generation
• Development of autonomous software development

Key Responsibilities

• Work on Large Language Models to support the development of the foundational AI research
• 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.