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TipTop | Remote | $165k - $260k | |||
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TipTop
$165k - $260k
This job is closed
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.