Machine Learning Jobs in Web3
258 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Ripple | Toronto, Canada | $54k - $60k | |||
Genies, Inc. | remote | $175k - $260k | |||
DApp360 Workforce | United States | $105k - $108k | |||
ChainGPT | Remote | $60k - $120k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Aave Companies | London, United Kingdom | $90k - $110k | |||
Binance | Asia |
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Binance | Asia |
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Binance | Asia |
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Binance | Asia |
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Binance | Canada |
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Binance | Dubai, United Arab Emirates |
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NIL (CYPRUS) LTD | Lima, Peru | $74k - $100k | |||
Heretic | San Francisco, CA, United States | $121k - $165k | |||
Upshot | Remote | $72k - $100k | |||
Paradigm | remote | $90k - $106k |
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.Â
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
We are looking for a product manager to join our team charged with determining and delivering optimal liquidity for every customer in the world in a cost-effective, robust and scalable manner. This role will be focused on automating funding flows, capital planning processes and building human facing UIs. In addition you will support Machine Learning efforts to forecast supply and demand across digital assets to dramatically simplify and improve access to liquidity. Successful candidates must have a strong understanding of workflow automation, and utilize machine learning to understand and optimize processes going through the automation pipeline.
WHAT YOU’LL DO:
- Define product requirements and manage delivery of core workflows for automation and machine learningÂ
- Be a thought leader on best practices and technical solutions for automation of business critical processes
- Engage with stakeholders and actors utilizing current systems to gather requirements and drive adoption of future state productsÂ
- Set a high bar of technical excellence, building solutions that are self-healing, robust and reliable
- Intake, prioritize and manage the backlog for multiple products and stakeholdersÂ
- Manage working relationships across multiple liquidity engineering and product teams that rely on this platform to deliver for our customers
- Lead the full cycle of product development and rollout — from requirements gathering and prioritization, to design and oversight of implementation
WHAT YOU'LL BRING:Â
- 8+ years of experience in product management, with 2+ years of experience with automation experience
- Ability to concisely articulate complex concepts to both technical and non-technical audiences in both written and verbal contexts
- Experience partnering with engineering teams to establish a shared vision, and then delivering incrementally without sacrificing long-term thinking
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Nice to haves:
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Prior experience working at a cryptocurrency company or general familiarity with crypto/ blockchain
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Prior experience working at a fintech, payments, or trading companyÂ
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Prior experience with Machine learning and forecasting
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WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- Ripple is Flexible First: you have the option to work from home, from our offices, or a combination of the two around our centers of gravity (15 global offices).
- Weekly all-company meeting - business updates and ask me anything >
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- Twice a quarter R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
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.