| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Heretic | San Francisco, CA, United States | $121k - $165k | |||
Upshot | Remote | $72k - $100k | |||
Paradigm | remote | $90k - $106k | |||
Gauntlet Networks | Remote | $150k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Blockchains | Remote | $54k - $60k | |||
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CoinFlip | Chicago, IL, United States | $22k - $62k | |||
Gemini | Gurgaon, India | $81k - $100k | |||
Gemini | Gurgaon, India | $63k - $100k | |||
Binance | Singapore, Singapore |
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Blowfish | remote | $72k - $100k | |||
OpenZeppelin | Remote | $72k - $80k | |||
Ripple | San Francisco, CA, United States | $174k - $175k | |||
Aldrin | Remote | $90k - $100k | |||
NOYA Network | Remote |
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AI / Machine Learning Research Engineer
Responsibilities
- AI strategy:
- Partner closely with the business strategy teams to understand the AI needs for the various business ideas
- Be aware of different and recommend options for implementing, developing, or tuning the models that are needed to drive the various business ideas (This includes keeping up-to-date with the latest developments in academia and industry)
- Develop proof concepts that prove out the most promising approaches
- Work with 3rd party AI providers to enhance their capabilities as needed
- Implementation:
- Advise engineering teams of portfolio companies on implementation strategy
- Drive the continual tuning and training of models to maximize business value
Minimum Qualifications
- 4-7 years work experience
- Strong knowledge of Python
- Experience with environment configuration for AI models, including working with GPU configurations
- Experience with prompting, few-shot learning, and large language models
- Broadly knowledgeable about different AI platforms, their capabilities, and their tradeoffs
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.