Voltai

Job Summary:
Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. The Machine Learning Research Engineer will be responsible for training foundation models, fine-tuning large language models, and designing innovative algorithms for various tasks in AI and machine learning.
Responsibilities:
• Train foundation models from scratch that integrate multiple modalities.
• Train and fine-tune large language models (LLMs) and multi-modal models (MMMs).
• Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges.
• Structure and optimize data for model training, ensuring high performance and efficiency.
• Create data synthetically and collect it from human interactions for diverse tasks.
• Build and optimize both open-source and proprietary models, considering various constraints.
• Design and execute innovative search and retrieval algorithms.
Qualifications:
Required:
• Strong software engineering skills, particularly in Pytorch, Python, CUDA, and Triton.
• Deep expertise in machine learning, including sequence modeling, generative models, and model architecture.
• Experience in pre-training and fine-tuning large multi-modal models.
• Proven track record of publications in top AI conferences and competitions.
• Experience implementing research papers into production code.
• Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods.
• Experience in developing and managing large-scale machine learning systems.
• Proficiency in configuring and optimizing hardware and operating systems for maximum performance.
• Experience building distributed training systems for AI models in high-performance computing (HPC) clusters.
Company:
AI models for electronics Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.