
11 - 50 employees
Founded 2022
₿ Crypto
💳 Fintech
🔌 API
💰 $4.2M Seed Round - Brahma on 2022-02
Crypto • Fintech • API
Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.
🕒 February 25
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11 - 50 employees
Founded 2022
₿ Crypto
💳 Fintech
🔌 API
💰 $4.2M Seed Round - Brahma on 2022-02
Crypto • Fintech • API
Brahma is a developer-focused orchestration layer that connects onchain financial logic to offchain payment and settlement systems. It enables programmable capital flows across blockchains, strategies, and traditional payment rails, providing smart accounts, automated agents, and programmable card issuance so apps can turn onchain positions into real-world spending. Brahma abstracts infrastructure and settlement for developers, letting them build onchain or hybrid apps without running backend ops.
• Define and execute the strategic roadmap for generative ML research aligned with company objectives • Lead research initiatives in multimodal generative models (video, audio, language), temporal consistency techniques, and multimodal generation with main focus on video generation • Build, lead, and mentor a diverse, high-performing ML team • Partner with product, engineering, and creative teams to integrate ML innovations into production systems • Contribute to the company's overall technical and product strategy.
• Advanced degree in Computer Science, Machine Learning, AI, or a related field • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python) • Deep understanding of AI ethics, fairness, and interpretability • Proven track record in leading machine learning R&D teams or projects. • Strategic thinking with the ability to define and communicate a compelling vision • Experience deploying large-scale machine learning models in production.
• Professional development • Flexible working arrangements
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