
1 - 10 employees
Founded 2024
🤖 Artificial Intelligence
🤝 B2B
Artificial Intelligence • B2B
Mindbeam AI is a company building Litespark, an ultra-fast LLM pretraining framework that accelerates training and inference for generative AI applications. Its software improves throughput on existing GPU hardware with zero code changes, is compatible with industry-standard ML frameworks like PyTorch, and claims to reduce pretraining time from months to days while lowering energy consumption and costs (up to ~81% energy savings in cited workloads). Mindbeam targets enterprise and B2B customers seeking scalable, efficient AI infrastructure for large language model development.
🕒 Yesterday
Machine Learning Engineer at Mindbeam designing user-facing APIs and tools for AI applications. Collaborating with cross-functional teams to optimize ML workflows and improve developer experience.
🇺🇸 United States – Remote
💵 $150k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
Distributed Systems
Docker
Kubernetes
Python
PyTorch
Tensorflow
🕒 May 26
Design and optimize large-scale pre-training systems powering generative AI models at Mindbeam. Collaborate with researchers and build efficient training pipelines.
🇺🇸 United States – Remote
💵 $150k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
Distributed Systems
Docker
Kubernetes
Python
PyTorch
Tensorflow
🕒 May 21
Machine Learning Engineer at Mindbeam pushing performance boundaries with custom GPU kernels. Collaborate with researchers and document best practices for AI optimizations.
🏄 California – Remote
💵 $150k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🕒 May 20
Machine Learning Engineer developing next-generation AI infrastructure for model training and evaluation. Collaborating with researchers and implementing deployment systems for scalable AI applications.
🇺🇸 United States – Remote
💵 $150k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
Cloud
Python
PyTorch
Tensorflow