Mindbeam AI
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.
Machine Learning Engineer – Inference
Job not on LinkedIn
🕒 Yesterday
🇺🇸 United States – Remote
💵 $150k - $190k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
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Mindbeam AI
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.
📋 Description
• Develop user-facing APIs, SDKs, and tools that streamline access to Mindbeam’s AI infrastructure. • Partner with research and product teams to translate complex ML workflows into clear, usable abstractions. • Optimize interfaces for scalability, security, and performance. • Advocate for the developer experience by gathering feedback and iterating rapidly. • Collaborate cross-functionally to ensure interfaces integrate seamlessly with enterprise environments.
🎯 Requirements
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field—or equivalent experience. • 2+ years of experience building developer tools, APIs, or ML/AI applications. • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX). • Familiarity with distributed systems, containers, and orchestration (Docker/Kubernetes). • Understanding of security, compliance, and enterprise integration best practices.
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