ML Engineer

About Literal Labs:

Literal Labs is a deep tech startup revolutionizing the field of artificial intelligence by developing a new, logic-based approach to AI algorithms. We are at the forefront of creating energy-efficient, explainable AI models that are orders of magnitude faster than traditional neural networks. Our mission is to build responsible and sustainable AI that can be deployed on the edge and in resource-constrained environments.

About The Role:

We are seeking an ML Engineer to join our growing team and play a key role in developing and optimizing our logic-based AI models. In this role, you will be responsible for designing, implementing, and evaluating machine learning algorithms that leverage propositional logic. You will work closely with our research team to push the boundaries of what’s possible with low-energy, fast AI.

Key Responsibilities:

• Design, implement, and optimize machine learning models using logic-based approaches
• Develop data pipelines for training and evaluating AI models
• Optimize model inference for edge deployment
• Collaborate with researchers to translate theoretical concepts into practical applications
• Benchmark and compare model performance against existing approaches
• Stay up-to-date with the latest advancements in machine learning and logic-based AI
• Troubleshoot and resolve model performance issues

Required Skills and Qualifications:

• Proven experience in machine learning and AI
• Strong programming skills with Python, C++, or similar languages
• Experience with deep learning frameworks or similar
• Familiarity with CUDA and Triton for GPU acceleration
• Understanding of model optimization techniques
• Experience with data processing and analysis
• Excellent problem-solving skills and attention to detail
• Ability to work in a fast-paced startup environment
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field