| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Sahara AI | San Francisco, CA, United States | $32k - $86k | |||
Referrals Only Board | Remote | $126k - $127k | |||
Coinbase | United States | $180k - $212k | |||
AKASA | Remote | $175k - $230k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Figure | San Francisco, CA, United States | $63k - $75k | |||
Aptos | Palo Alto, CA, United States | $160k - $260k | |||
Foundry | New York, NY, United States | $100k - $200k | |||
OP3N WORLD | Los Angeles, CA, United States | $21k - $64k | |||
OKX | San Jose, CA, United States | $196k - $280k | |||
Openmesh Network | New York, NY, United States | $91k - $115k | |||
Sec3 | Remote | $72k - $115k | |||
Openmesh | Sydney, Australia | $90k - $150k | |||
OKX | Singapore, Singapore | $91k - $105k | |||
Kraken Digital Asset Exchange | Remote | $135k - $203k | |||
Ripple | Toronto, Canada | $94k - $96k |
About Sahara
Sahara is a decentralized AI network that unlocks fair and universal access to global knowledge capital. Through its suite of trustless, permissionless, and privacy-preserving AI products, Sahara empowers individuals and businesses with unparalleled opportunities for leveraging, utilizing, and monetizing their knowledge capital. Sahara has secured the backing of prominent Web3 and AI investors, including Polychain Capital, Sequoia Capital, Matrix Partners, Samsung Next, and many more.
Our Vision
Sahara envisions a world where human potential is maximized through the seamless integration of AI and blockchain technologies. We aim to make knowledge a shared and valued resource for everyone, creating a global ecosystem where every individual and business can freely and fairly access, utilize, and benefit from the vast expanse of their knowledge capital while maintaining their privacy and autonomy.
Our Principles
🔐 | Trust & Security: we are utilizing blockchain technology to ensure secure, private data ownership
🧑💻 | 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.
- 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)
- 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
🤖 | 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.
⚙️ | Work closely with pioneering AI companies and startups.
💰 | Highly competitive compensation.
💻 | Support for career and professional development.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.