Machine Learning Jobs in Web3
207 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
TipTop | Remote | $165k - $260k | |||
Waivlength | Remote | $140k - $180k | |||
Next Big Thing AG | Berlin, Germany |
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Foundry | New York, NY, United States | $61k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Next Big Thing AG | Berlin, Germany |
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Ripple | San Francisco, CA, United States | $45k - $100k | |||
Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Next Big Thing AG | Berlin, Germany |
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Figure | San Francisco, CA, United States | $98k - $156k | |||
Next Big Thing | Berlin, Germany |
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Hivemapper | San Francisco, CA, United States | $72k - $100k | |||
Hivemapper | Remote | $72k - $100k | |||
Next Big Thing AG | Berlin, Germany |
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This job is closed
We’re inviting individuals with a deep knowledge in machine learning and data infrastructure to join the TipTop founding team with backgrounds in engineering, data science & product. Together we will be working on systems at the intersection of fiat and crypto. Are you a curious thinker who likes to solve complex challenges in a rewarding environment where your contributions are valued and have a direct impact?
- Work on complex challenges building systems in the applied machine learning space
- Build reliable data services and robust ingestion pipelines for both structured and unstructured data sources
- Design and ship ETL pipelines that transform, aggregate, normalize, and master messy data
- Define data models for optimal storage with a keen eye for model development, analysis, and optimization over time
- Develop, train, and deploy models in the pricing, risk, and prediction space
- Contribute to the development of consumer facing experimentation & risk platforms
- Have the opportunity to build and lead a team
- 7+ years of experience as a software engineer architecting, building, launching and maintaining end-to-end ML systems from whiteboard to production
- Demonstrated ability turning business and product ideas into engineering solutions. You can go from zero to one
- Strong knowledge of statistics and machine learning
- Strong programming experience in Python | SQL
- Familiarity with modern data stores, pipeline & orchestration tools, and ML frameworks
- Experience building experimentation frameworks
- Experience in quantitative finance and forecasting/prediction models
- An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Quantitative Finance, Physics, or a related technical field
- Passion for building, bias for action, and are excited by uncertainty
- You are autonomous & adaptable – own the work, move fast, react quickly
- Python
- Go
- SQL/Postgres
- Dataflow / Airflow
- DBT
- TensorFlow/PyTorch/Spark
- GCP
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.