SaharaUnited States

ML Research Intern

About UsSahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users.

ML Research Intern

ML Research Intern

Sahara

United States

Full TimeNegotiable
Posted on 26th Oct 2024

About Us

Sahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users. Backed by top investors in AI and crypto, including Binance Labs, Pantera Capital, Polychain Capital, Sequoia Capital, Samsung, Matrix Partners, and many more, Sahara AI continues to push the boundaries of decentralized AI. Today, Sahara AI is trusted by 35+ leading tech innovators and research institutions, such as Microsoft, Amazon, MIT, Motherson Group, and Snap.

Sahara Labs, the driving force behind Sahara AI, is an AI and blockchain infrastructure company led by USC Professor and AI veteran Sean Ren and former Binance Labs investment director Tyler Zhou. Sahara Labs envisions a future where AI is equitable, transparent, ethical, and accessible to all through AI asset sovereignty and open technology. Learn more at saharalabs.ai.

Our Mission

To empower everyone to own and shape the future of AI through building a decentralized AI blockchain platform that prioritizes AI sovereignty, equity, and accessibility.

Our Principles

πŸ” | Trust & Security: we are utilizing blockchain technology to ensure secure, private data ownership

πŸ§‘β€πŸ’» | Innovation: we are developing AI-driven solutions for innovative knowledge utilization and monetization

🌍 | Fairness & Diversity: we are committed to providing fair and universal access to global knowledge for every human

Fields of Research

  • Pioneering Research: Collaborate with USC INK lab and embark on exploratory research areas like Human-in-the-loop machine learning, Model Explanatory, Parameter-efficient Fine-tuning, Collective Intelligence, and Human-machine integration.

  • Business-Oriented Machine Learning: Build deep learning models for multi-modal understanding and recommendation to shape our unique services like our task distribution platform which connects AI demands with data labelers. Our clientele includes tech giants and star startups.

  • AI Co-pilots Development: Dive into the tide of LLM/Agent & AIGC applications. With our business closely related to the trailblazers in AI, you'll keep track of the AI industry's trend and optimize accordingly by providing handy workflow assistance AI.

Minimum Qualifications

  • Undergraduate or graduate students in Computer Science, Data Science, Math or related fields, as well as degree holders

  • Inquisitive Mind: An enthusiasm to learn and explore the uncharted territories of AI, ML, and related fields

  • Problem-solving mindset with a passion for innovation and experimentation.

  • Can commit to an internship period of more than 4 months (depends on proficiency)

Bonus

  • Proficiency in ML frameworks such as PyTorch, TensorFlow, JAX, or similar.

  • Be familiar with one of the following field (or any related)

    • Natural Language Processing (NLP)

    • Computer Vision (CV)

    • Recommender system

    • Reinforcement Learning

    • Large Language Models

What We Offer

πŸ€– | Shape the future of AI and Blockchain with a global and diverse team of industry experts on a mission to drive the AI industry forward.

βš™οΈ | Work closely with pioneering AI companies and startups.

πŸ’° | Highly competitive compensation.

πŸ’» | Support for career and professional development.

Instructions

  • Provide Accurate Personal Information
  • If the job requires a CV, ensure that you upload an up to date CV
  • The name on your application should match your legal identification.
  • All Fields marked with * are mandatory
Please ensure you regularly check the email address provided during the application process for any updates from Tuhustle or potential employers. Your application status, interview invitations, or job offers will be sent via email. Respond promptly to any messages to maintain your candidacy.

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