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Blockchain Engineer

BrickData

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Work Level

Work Level

Senior

Salary range

Salary range

$30,000 — 40,000

Employment type

Employment type

Contract

Location

Location

United States

Work Mode

Work Mode

Remote

Job Description

Blockchain Engineer who can also contribute to ML-based tasks to support BrickData’s crypto trading and price prediction platform. The ideal candidate should have expertise in blockchain technologies and a strong understanding of integrating ML solutions for real-world applications.


Responsibilities:

• Build and maintain blockchain-based integrations for trading systems (e.g., Ethereum, Solana, or cross-chain).

• Collaborate on integrating price prediction models and ML/RL algorithms for trading.

• Work with APIs (e.g., Chainlink, 0x, or similar) and build scalable, secure connections for data exchange.

• Ensure robust interaction between blockchain infrastructure and ML-powered models.


Required Skills:

• Experience with Ethereum/Solana ecosystems, or equivalent blockchain technologies.

• Proficiency in tech stacks such as TypeScript (Web3.js) or Golang (Geth), or Rust.

• Hands-on experience with ML frameworks like scikit-learn, TensorFlow, or SageMaker.

• Ability to create and deploy ML wrappers or integrate pre-trained models into production.

• Strong debugging and problem-solving skills in a fast-paced environment.


Nice to Have:

• Familiarity with trading algorithms or financial systems.

• Prior experience with cross-chain protocols and decentralized exchanges (e.g., Uniswap, Sushiswap).

Skills & Tools

Etherium
Solana
Chainlink
Python
AWS
Typescript
Django
Flask
SQL
mongoDB
React
Node.js
Machine Learning
Deep Learning
NLP
TensorFlow
PyTorch
Docker

Benefits from working with BrickData

EXCLUSIVE BENEFITS

Global Team

Flexible hours

Rewards

Learning

Flexible working location

Dedicated focus hours

Company offsites

Vacation Time-Off

OTHER

Home Office Support

Home Office Support

Remote Co-Working Pods

Remote Co-Working Pods

Career Mentorship Program

Career Mentorship Program

Learning & Development Program

Learning & Development Program

Conferences

Conferences

Stat Holidays

Stat Holidays

Vacation/Personal days off

Vacation/Personal days off

Leave Travel Allowance

Leave Travel Allowance

Health & Wellness (Medical Insurance)

Health & Wellness (Medical Insurance)

Phone & Internet Allowances

Phone & Internet Allowances

About BrickData

Real Estate ・ 11-20 Employee

BrickData is a forward-thinking company at the intersection of technology and sustainability. Headquartered in New York, we specialize in delivering integrated software and hardware solutions to revolutionize next-generation infrastructure. Our mission is to create a sustainable future through the seamless application of cutting-edge reinforcement learning, AI-powered predictive analytics, and innovative decarbonized energy generation technologies. Founded in 2024, BrickData has rapidly positioned itself as a trusted partner in the development and operation of core and digital infrastructure for industries such as real estate, energy, and technology. Our solutions are designed to tackle complex challenges, enabling businesses to unlock efficiency, scalability, and environmental sustainability. What We Do BrickData combines advanced machine learning techniques with cloud-powered platforms to create impactful solutions for its clients. By leveraging a robust technical stack that includes AWS, GCP, and Azure, our team of engineers develops high-performance tools and frameworks that drive innovation and operational excellence. We are proud to deliver products and services that transform the way industries manage resources, optimize processes, and integrate AI. At BrickData, we don’t just build technology – we design solutions for a better tomorrow. Whether it’s optimizing trading algorithms, integrating AI for advanced analytics, or enabling businesses to achieve their sustainability goals, BrickData is committed to excellence. Join us as we shape the future, one breakthrough at a time. For more information, visit www.brick-data.com.
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