Jobs

    Senior Machine Learning Engineer - Texas, United States - Stealth AI Startup

    Stealth AI Startup
    Stealth AI Startup Texas, United States

    4 weeks ago

    Default job background
    Description

    Join Our Decentralized AI Revolution: Founding Machine Learning Engineer Needed

    Are you passionate about decentralizing artificial intelligence and shaping the future of technology? Do you thrive in fast-paced, early-stage startup environments where your contributions make a significant impact?

    As a Machine Learning Engineer specializing in fine-tuning large language models for decentralized AI applications, you'll play a crucial role in pioneering innovative solutions that empower individuals and organizations to harness the power of AI while preserving data privacy and security.

    Here's what you'll be doing:

    Fine-Tuning for Decentralization: Fine-tune and optimize large language models for decentralized environments, ensuring robust performance while maintaining data sovereignty and privacy.

    Blockchain Integration: Integrate machine learning models with decentralized platforms, leveraging distributed ledger technology to enable secure and transparent AI transactions.

    Privacy-Preserving Techniques: Implement state-of-the-art privacy-preserving techniques such as federated learning, differential privacy, and homomorphic encryption to safeguard sensitive data and promote user trust in decentralized AI systems.

    Prototype Development: Design, develop, and iterate on decentralized AI prototypes and proof-of-concept applications, demonstrating the feasibility and scalability of our innovative solutions.

    Research & Innovation: Stay at the forefront of decentralized AI research, exploring new algorithms, architectures, and methodologies.

    Requirements:

    • Strong background in machine learning, deep learning, and natural language processing, with hands-on experience in fine-tuning large language models such as GPT, BERT, or similar.
    • Proficiency in programming languages such as Python and experience with frameworks like TensorFlow, PyTorch, or JAX.
    • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, or a related field.

    Ideal:

    • Familiarity with decentralized technologies such as blockchain, smart contracts, and peer-to-peer networks, with a keen interest in applying them to AI systems.
    • Solid understanding of privacy-preserving techniques and their application in decentralized AI, including federated learning, differential privacy, and secure multi-party computation.
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