Machine Learning Jobs in Web3
258 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
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 | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 | |||
Strike | Remote | $165k - $180k | |||
Heretic | San Francisco, CA, United States | $97k - $150k | |||
FLock.io | Remote |
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Numus | Remote | $63k - $70k | |||
CERE NETWORK | Remote |
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This job is closed
About The Role
We are searching for an experienced Machine Learning Engineer to join our team. Aptos recently entered a partnership with Microsoft to explore the opportunities between Web3 and AI. You will be responsible for exploring opportunities within this space. This includes our current efforts in building AI-driven chatbots that teach people about development on Aptos and empower them to query on-chain state. You will explore the collaboration between AI and blockchain. Beyond that, we’re excited to explore co-development or co-piloting experiences and building products with our product teams. We are looking for a bold thinker who has the ability to execute well; in return, you will receive a lot of autonomy and ownership over the projects you tackle.
This role sits in our Palo Alto, CA office.
What you'll be doing:
- Build best-in-class AI chatbots that guide users through their Aptos journey by translating our research papers, blogs, and technical documentation into more accessible content
- Improve and optimize LLMs for use in production systems
- Define, build, and deliver data pipelining architecture for AI-driven applications.
- Work with the product teams to explore opportunities for AI-driven experiences.
- Work with platform and language development teams to build a first-in-class Move language and Aptos Dapp co-pilot experience.
What we’re looking for:
- 5+ years of relevant experience
- A degree in a technical field such as Statistics, Computer Science, or similar field
- Strong data wrangling and SQL skills. You have a track record of optimizing large pipelines to run very efficiently
- Experience in at least one programming language (e.g. Python)
- Experience manipulating large amounts of structured and unstructured data through pipeline development tools like Airflow
- Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage
The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.
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.