Machine Learning Jobs in Web3

306 jobs found

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Job Position Company Posted Location Salary Tags

Nethermind

Singapore, Singapore

$72k - $112k

Genies, Inc.

Los Angeles, CA, United States

$21k - $64k

Plai Labs

Los Angeles, CA, United States

$75k - $150k

Lemon.io

Canada

$48k - $110k

CAT Labs (Crypto Asset Technology Labs, Inc.)

United States

$185k - $220k

Whatnot

San Francisco, CA, United States

$178k - $235k

Binance

Taipei, Taiwan

Coinbase

Remote

$126k - $127k

Coinbase

Remote

$140k - $165k

Coinbase

Remote

$185k

Unlimit

Gurgaon, India

$87k - $103k

Ionicpartners

United States

$72k - $90k

Nansen.ai

London, United Kingdom

$126k - $127k

Sahara AI

San Francisco, CA, United States

$32k - $86k

Referrals Only Board

Remote

$126k - $127k

AI ML Engineer APAC

Nethermind
$72k - $112k estimated
Singapore
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Are you the one?

If you've envisioned yourself at the forefront of AI and Web3 innovation, then Nethermind offers the perfect opportunity to transform that vision into reality.

Nethermind is a Blockchain Research and Software Engineering company. We empower enterprises and developers worldwide to access and build on the decentralized web. Our work touches every part of the blockchain ecosystem - from fundamental cryptography research to application-layer protocol development.

We are currently seeking talented and passionate Engineers with experience in AI/ML to join our growing AI Assistants team. Successful candidates will research, design, develop, train and test AI tools/agents to automate many functions of our delivery. The successful candidates will embody the entrepreneurial spirit, possess self-drive and demonstrate a genuine interest in Artificial Intelligence. If you are passionate about shaping the future of technology and thrive in a fast-paced, collaborative environment, we invite you to explore this exciting opportunity with us. Join us as we redefine possibilities and unlock the full potential of AI.

Responsibilities:

  • Perform R&D in the area of incorporating LLMs into various company-wide tasks
  • Prototyping, designing and development of LLM-based solutions
  • Working and experimenting with the latest tools and technologies in the AI area
  • Opportunity to work with the top software engineers and research professionals to solve the toughest technical challenges
  • Stay updated with new developments and research in the AI/ML space (LLM in particular)

Skills:

  • Excellent programming skills, no preferred language but knowledge of those popular for AI/ML will be beneficial (eg. Python)
  • Understanding of good software architecture and engineering process
  • Ability to write clean, testable, and maintainable code without over-engineering
  • Research, learning and ideating-oriented mindset
  • Familiarity with tools such as ChatGPT, Claude, Perplexity and similar tools
  • An entrepreneurial nature, willing to take ownership and run toward problems
  • Several years of experience in software development and a strong Computer Science background
  • Analytical and detail-oriented mindset for designing, validating and comparing experiment results

Nice to have:

  • Experience with development of LLM-based solutions
  • ML/Data science experience, especially in the field of NLP
  • Prompt-engineering skills
  • Experience with vector embeddings and using vector databases
  • Experience with LLM fine-tuning, including model quantization
  • Experience with LangChain, SemanticKernel or similar
  • Experience with local running open-source LLM models like Llama2 or Mistral
  • Experience in design RAG solutions
  • Knowledge of LLM-related security concerns like prompt injection, training data poisoning etc.
  • A fascination with the inner working of LLM, GPT and similar models
  • Knowledge of LLM internals and architecture
  • Familiarity with any of the topics like: zero-knowledge systems, blockchain, cryptography or mathematical background
  • Having activity on GitHub is a significant advantage (please include links to projects or PRs that you have submitted to external projects)

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.