Machine Learning Jobs in Web3
207 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OKX | San Jose, CA, United States | $104k - $111k | |||
Serotonin | Chicago, IL, United States | $90k - $110k | |||
Gate.io | Remote | $104k - $106k | |||
OKX | San Jose, CA, United States | $112k - $150k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Coinbase | Remote | $185k | |||
Coinbase | Remote | $149k | |||
Coinmarketcap | Remote | $106k - $165k | |||
Hyphen Connect Limited | New York, NY, United States | $81k - $102k | |||
Zamp | Bangalore, India | $105k - $106k | |||
Circle - Referrals | Remote | $147k - $195k | |||
Web3 Recruit | Remote | $180k - $200k | |||
Coinbase | Remote | $112k - $150k | |||
Circle | Washington, United States | $147k - $195k | |||
Coinbase | Remote | $149k | |||
Coinbase | Remote | $126k - $127k |
This job is closed
Who We Are
- Drive risk product / business of OKX to world-class, align risk product initiative and development with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced
- Lead product roadmap, strategy and execution of Risk Platform; develop and champion product features, including but not limited to decision engine, feature stores etc, to empower data strategy & data science teams to easily implement, execute, and carry out decision strategies across the entire user journey, and at the same time detect & prevent financial losses due to scams, ATO and other fraud activities
- Lead ML/AI model projects as the foundation of the Risk Platform; work with data science, data analyst, ML engineering and development team to build, implement, monitor and constantly improve model services
- Highly adaptive and comfortable dealing with ambiguity. Highly data-driven in product & business decision making process
- Passionate about customer experience; always driven to seek customer feedback and obsessed with customer experience improvement & optimization
- Define and monitor all levels of metrics to measure the success of the product; drive epic and sprint level prioritization and product backlog grooming etc
- Strong and positive collaboration skills to lead and drive the entire product research, design and development process with cross-functional stakeholders
- Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
- 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc
- Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development
- High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions
- Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch
- Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring
- Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment
- Past experience in AI and machine learning
- Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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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.