Machine Learning Jobs in Web3
258 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Sahara | San Francisco, CA, United States | $126k - $127k | |||
Gate.io | Remote | $85k - $107k | |||
Coinbase | Remote | $180k - $212k | |||
Genies | Remote | $165k - $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 | |||
Genies | Remote | $165k - $230k | |||
Genies | Remote | $123k - $158k | |||
Genies | Remote | $123k - $158k | |||
RoofStacks | Ä°stanbul | $105k - $120k | |||
RoofStacks | Ä°stanbul | $105k - $115k | |||
Coinbase | Remote | $218k - $256k | |||
Menyala | Remote | $126k - $127k | |||
Gemini | Remote | $152k - $213k | |||
Binance | Taipei, Taiwan |
| |||
Coinbase | Remote | $218k - $256k | |||
TradingView | Malaga, Spain | $105k - $110k |
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 Vision
To create a future where AI is open, transparent, and accessible to all through democratizing access to AI resources and ensuring sovereignty of AI assets.
Our Values
Impact First, No Excuses
Think Big, Act Fast, Every Day is Day 1
Speak Up, Build Better
Integrity Always, Zero Compromise
Own it, Raise the Bar
Resilience Wins the Race
About the Role
We are seeking a talented large language model application engineer to join our team. The ideal candidate should have a strong spirit of innovation, an outstanding technical background, and a passion for exploring large language models.
Key Responsibilities:
Responsible for developing and optimizing intelligent agents based on large language models.
Collaborate with the team to iterate prompting to improve agent performance.
Analyze and solve technical problems during the development process and form a methodology for agent development.
Cooperate with large language model suppliers to optimize model performance.
Stay updated on the latest developments and technical trends in the field of artificial intelligence and machine learning.
Requirements:
Bachelor's degree in computer science or a related field
An understanding of large models, with enthusiasm and broad vision for exploration
Good programming skills and algorithmic foundations
Excellent teamwork ability and communication skills
Able to work in a fast-paced environment
Preferred Qualifications:
Experience in large language model & agent-related application projects
Relevant experience in intelligent customer service / NLU / virtual humans
Has a certain product sense
What We Offer
đ¤ | Shape the future of AI and Blockchain with a global team of industry experts
âď¸ | Work closely with pioneering AI companies and startups
đ° | Competitive compensation
đĽ | Medical, Dental, and Vision benefits and vacation time
đť | Opportunity for career growth and high impact
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.