Machine Learning Engineer with Blockchain Exp
Budget: $25 – $30 USD
The Role
You must work US time zone PST 8-10 hours per day. No exceptions.
We’re looking for a hands-on engineer who thrives in a fast-moving startup environment and enjoys working across the stack. You’ll help build data-intensive systems end to end—from model pipelines to the user interfaces and APIs that customers rely on every day.
What We’re Looking For
Must-Have
1. Machine Learning & Data
Experience building and deploying ML models (e.g., classification, anomaly / outlier detection)
Strong feature engineering and behavioral pattern analysis skills
Comfort working with structured data at scale
Proficiency with the Python data stack (NumPy, pandas, etc.)
2. Full-Stack & Cloud
Modern frontend development (React, TypeScript or similar)
Backend API development (Python preferred, but open to equivalents)
Experience with relational databases and SQL
Solid experience building in a major cloud provider (AWS preferred; GCP/Azure also relevant), including:
Deploying and operating backend services
Managing cloud resources (networking, storage, IAM)
Using infrastructure-as-code or similar automation tools
3. Blockchain Fundamentals
Understanding of how blockchains work (transactions, addresses, wallets)
Experience working with blockchain data or APIs
Familiarity with more than one network (e.g., Bitcoin, Ethereum, etc.)
Nice-to-Have
Domain & Product Experience
Background in financial services, fintech, or other data-heavy domains
Experience with risk, anomaly, or fraud detection systems
Real-time or near-real-time transaction / event monitoring
Experience combining rules-based systems with ML models
What You’ll Do
Design and implement ML models and data pipelines for complex behavioral and transactional data
Build tools that analyze activity across multiple blockchain networks
Develop dashboards and interfaces that help users quickly understand and act on large data sets
Own and evolve APIs that power our core product
Work directly with customers and internal stakeholders to translate messy real-world requirements into clean technical solutions
Help shape and scale our cloud architecture as we grow
Why Join?
High impact: Small team, meaningful ownership, visible results
Broad scope: Work across ML, full-stack, cloud infrastructure, and blockchain data
Growth: Early-stage environment with room to grow your role and responsibilities
Product-focused: Ship quickly, get feedback, and iterate with real users
You must work US time zone PST 8-10 hours per day. No exceptions.
We’re looking for a hands-on engineer who thrives in a fast-moving startup environment and enjoys working across the stack. You’ll help build data-intensive systems end to end—from model pipelines to the user interfaces and APIs that customers rely on every day.
What We’re Looking For
Must-Have
1. Machine Learning & Data
Experience building and deploying ML models (e.g., classification, anomaly / outlier detection)
Strong feature engineering and behavioral pattern analysis skills
Comfort working with structured data at scale
Proficiency with the Python data stack (NumPy, pandas, etc.)
2. Full-Stack & Cloud
Modern frontend development (React, TypeScript or similar)
Backend API development (Python preferred, but open to equivalents)
Experience with relational databases and SQL
Solid experience building in a major cloud provider (AWS preferred; GCP/Azure also relevant), including:
Deploying and operating backend services
Managing cloud resources (networking, storage, IAM)
Using infrastructure-as-code or similar automation tools
3. Blockchain Fundamentals
Understanding of how blockchains work (transactions, addresses, wallets)
Experience working with blockchain data or APIs
Familiarity with more than one network (e.g., Bitcoin, Ethereum, etc.)
Nice-to-Have
Domain & Product Experience
Background in financial services, fintech, or other data-heavy domains
Experience with risk, anomaly, or fraud detection systems
Real-time or near-real-time transaction / event monitoring
Experience combining rules-based systems with ML models
What You’ll Do
Design and implement ML models and data pipelines for complex behavioral and transactional data
Build tools that analyze activity across multiple blockchain networks
Develop dashboards and interfaces that help users quickly understand and act on large data sets
Own and evolve APIs that power our core product
Work directly with customers and internal stakeholders to translate messy real-world requirements into clean technical solutions
Help shape and scale our cloud architecture as we grow
Why Join?
High impact: Small team, meaningful ownership, visible results
Broad scope: Work across ML, full-stack, cloud infrastructure, and blockchain data
Growth: Early-stage environment with room to grow your role and responsibilities
Product-focused: Ship quickly, get feedback, and iterate with real users