Software Engineering
·
San Francisco, CA, USA
·
Hybrid Remote
Machine Learning Engineer
We usually respond within three days
For web3 to get into the hands of mainstream users, there cannot be exploits that steal millions of dollars in a single atomic transaction. The current exploit detection and response solutions are not sufficient to keep billions of dollars secure. We believe a combination of research-based and data-driven detection solutions and a novel response solution will leapfrog the industry forward in the battle against exploiters.
Role
Responsibilities
- Hands on develop and productionize our security detection models to be the best in the industry
- Own data analysis, working closely with our security researcher and CTO to continuously develop and backtest across our suite of detection techniques
- Perform data analysis on current exploits to prove and verify in-house research theses.
- Help shape the engineering culture as a member of the founding team
Requirements
- 5+ years of experience developing high-quality prediction models
- Experience in Python, and modern AI frameworks
- Ability to handle the breadth of scope and ambiguity as a founding member of the company
- Be borderline obsessed with data science
- (Bonus) Experience with web3 technologies and products
- Job category
- Software Engineering
- Locations
- San Francisco, CA, USA
- Remote status
- Hybrid Remote
- Yearly salary
- $150,000 - $180,000
- Employment type
- Full-time
- HQ
- USA
- Required Experience
- 5+ Years
- Company Size
- 1 - 10 Employees
- Work Sponsorship
- Unavailable
Software Engineering
·
San Francisco, CA, USA
·
Hybrid Remote
Machine Learning Engineer
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