Machine Learning Jobs in Web3
253 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kraken Digital Asset Exchange | Remote | $63k - $120k | |||
FalconX | Remote | $105k - $108k | |||
Magic Eden | San Francisco, CA, United States | $180k - $220k | |||
Hologram Labs | New York, NY, United States | $122k - $156k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kraken Digital Asset Exchange | Remote | $63k - $75k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $87k - $120k | |||
Heretic | San Francisco, CA, United States | $96k - $120k | |||
Heretic | San Francisco, CA, United States | $84k - $120k | |||
ZAUBAR | remote | $63k - $75k | |||
Ripple | Toronto, Canada | $54k - $60k | |||
Genies, Inc. | remote | $175k - $260k | |||
DApp360 Workforce | United States | $105k - $108k | |||
ChainGPT | Remote | $60k - $120k | |||
Aave Companies | London, United Kingdom | $90k - $110k |
This job is closed
Director of Engineer - AI/ML
The Opportunity
- Develop and articulate the AI/ML Team's vision, mission, and long-term strategy aligned with the company's objectives.
- Lead, mentor, and inspire a team of talented machine learning engineers by fostering a collaborative and inclusive team culture that promotes knowledge sharing and continuous learning.
- Collaborate with cross-functional teams to align AI/ML initiatives with the broader business goals.
- Oversee the end-to-end development and deployment of machine learning models and solutions that address critical business challenges and opportunities in the crypto space.
- Stay abreast of the latest advancements in machine learning and AI technologies, and identify opportunities for innovation and improvements.
- Identify and address potential technical and business risks associated with AI/ML projects, while implementing measures to ensure data privacy, security, and compliance with relevant regulations.
Skills you should HODL
- In-depth knowledge and expertise in machine learning algorithms, natural language processing, deep learning, and statistical modeling to address real-world problems.
- Deep experience in developing and deploying machine learning models in real-world applications.
- In-depth understanding of the software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices.
- Proficiency in programming languages such as Python, Scala, Go or other languages.
- Excellent communication, interpersonal, and leadership skills.
- Strong analytical and problem-solving abilities.
- Demonstrated success in driving the implementation of AI/ML projects from conception to deployment.
- Solid understanding of blockchain and cryptocurrency technologies is a strong plus.
- Master's or Ph.D. degree in Computer Science, Machine Learning, or a related field.
- Proven experience (12+ years) leading and managing a team of machine learning engineers and data scientists in a fast-paced environment.
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.