| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coinmarketcap | Remote | $106k - $165k | |||
Hyphen Connect Limited | New York, NY, United States | $81k - $102k | |||
Zamp | Bangalore, India | $105k - $106k | |||
Circle - Referrals | Remote | $147k - $195k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Web3 Recruit | Remote | $180k - $200k | |||
Coinbase | Remote | $112k - $150k | |||
Circle | Washington, United States | $147k - $195k | |||
Coinbase | Remote | $149k | |||
Coinbase | Remote | $126k - $127k | |||
Coinbase | Remote | $180k - $212k | |||
Bitso | Latin America | $105k - $108k | |||
Trustana | New York, NY, United States | $82k - $106k | |||
Entangle Labs | Dubai, United Arab Emirates | $122k - $127k | |||
CAT Labs (Crypto Asset Technology Labs, Inc.) | United States | $150k - $180k | |||
Trustana | New York, NY, United States | $67k - $75k |
Company Description
POWERING CRYPTO WITH DATA
CoinMarketCap is the world’s most trusted and accurate source of data for cryptocurrencies. Used by millions of individuals, organizations, and exchanges, CoinMarketCap brings the most up-to-date market capitalizations, pricing, and cryptocurrency information to our users.
Pulling data from multiple exchanges and combining our robust research allows us to provide the most realistic representation of each cryptocurrency. As we grow, we will continue to provide access to our data wherever, whenever, and however is most helpful to our users.
CREATING AN OPEN WORLD
Our mission is to be the world’s authority on cryptocurrency data. We believe in an open and decentralized world, where we play a pivotal role in powering decisions and insights to drive greater understanding and adoption of cryptocurrencies. We want to achieve this mission with people who truly believe in the value and potential of empowering individuals.
Job Description
Design, build and deploy recommendation systems .
Anomaly detection to identify bot traffic.
Set up and maintain real-time and batch data pipelines.
Qualifications
Bachelor or Masters in Computer Science Engineering or related fields.
4+ years in developing and deploying data pipelines for both real-time and scheduled jobs.
2+ years in developing and deploying recommendation/feed systems that that powers the "for you" feed, "following" feed, etc.
Working proficiency with Python, SQL, and/or Java.
Experience with cache databases (E.g. Redis, MongoDB).
Experience with job schedulers (E.g. Airflow).
Familiar with message queue systems (E.g. Kafka, Pub/Sub).
Experience in using Cloud service (GCP, AWS, or Azure) is a plus.
Knowledge of the cryptocurrency ecosystem and on-chain data is a plus.
Additional Information
Working at CoinMarketCap
- Do something meaningful; Be a part of the future of finance technology and the leading company in the industry
- Fast moving, challenging and unique business problems
- International work environment, flat organization, flexible working hours
- Great career development opportunities in a growing company
- Possibility for relocation and international transfers mid-career
- Competitive salary
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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.