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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
TipTop | Remote | $165k - $260k | |||
Injective Labs | Remote | $32k - $76k | |||
IOVLabs | Remote | $32k - $76k | |||
CoinList | Remote | $65k - $100k | |||
| Learn Job-ready Solidity & Rust skills, in your schedule with 1-on-1 mentor support, or get your money back. ISO 9001 Certified | 400+ students | | by Metana Learn more | |||
Dispatch | Remote | $54k - $82k | |||
Horizon Blockchain Games | Toronto, Canada | $105k - $111k | |||
Horizon Blockchain Games | Toronto, Canada | $36k - $56k | |||
VCRED | Remote | $45k - $60k | |||
Chainlink Labs | Remote |
| |||
Worldcoin | Berlin, Germany | $45k - $75k | |||
V3 Talent Partners Inc. | Remote | $84k - $100k | |||
Shakepay | Montreal, Canada | $32k - $76k | |||
OpenSea | Remote | $90k - $156k | |||
Crypto.com | remote | $30k - $80k | |||
Archimed | United States | $70k - $150k |
Send a resume and links to past Web3 projects to [email protected]
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?
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?
You Will
- 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
You Have
- 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
Even Better
- 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
Tech You'll Use
- Python
- Go
- SQL/Postgres
- Dataflow / Airflow
- DBT
- TensorFlow/PyTorch/Spark
- GCP
How To Apply
Send us an email with a copy of your resume or LinkedIn, your GitHub (if you’ve got one), and any projects you think we should see.