Machine Learning Web3 Jobs in United States
83 jobs found
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Bondex Ecosystem
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Okcoin | San Jose, CA, United States | $76k - $150k | |||
OP3N | Los Angeles, CA, United States | $21k - $64k | |||
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 | |||
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 | |||
DApp360 Workforce | United States | $105k - $108k | |||
Heretic | San Francisco, CA, United States | $121k - $165k | |||
CoinFlip | Chicago, IL, United States | $22k - $62k | |||
Ripple | San Francisco, CA, United States | $174k - $175k | |||
Gauntlet | United States | $150k - $180k | |||
Ionicpartners | United States | $81k - $100k | |||
OpenZeppelin | United States | $63k - $90k |
This job is closed
- Drive risk product / business of OKX to world-class, align risk product development with business and risk strategy so that financial losses, customer experience and business growth are well balanced
- Deeply understand typical and new risk scenarios and design risk strategies and models, implement together with the engineering team
- Oversee the design, development and management of real-time systems to significantly increase automation rate and model iteration efficiency
- Define and monitor all levels of metrics to measure the success of the product and utilize data insights for risk product
- Plan, organize, and deliver new fraud risk products and features to the market. Support other global product launches and ongoing product adoption
- Understand financial and operational inefficiencies related to fraud and optimize processes and systems to improve them
- Drive strategic alignment across other teams to ensure cohesive product functionality and value proposition
- Stay informed of the overall market landscape, fraud risk and compliance implications, and fraud industry best practices
- Build a strong risk product team, evaluate people and lead the team with great leadership.
- Product management experience in the fraud risk space with past experience in AI and machine learning. Rich experience of team management.
- Experience designing and building fraud and risk systems - implementing fraud risk best practices with a track record of managing all aspects of a successful product throughout its lifecycle
- Entrepreneurial spirit - Working in a fast paced environment, with competing resources and priorities. Ability to navigate through ambiguity to advocate for resources
- Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for Product Development, Engineering, Design and Marketing
- 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
- 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
- Bachelor's degree in Computer Science, Engineering, or a related technical discipline
- Passion for Bitcoin, crypto, Defi and blockchain technology
- Fluent in Mandarin and English
Nice to Haves:
- Past experience working with payments systems or crypto platforms is strongly preferred
- Fluent in English. Mandarin is optional
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.