Machine Learning Engineer

About us

Pass App is on a mission to ignite financial freedom and true ownership for people everywhere. Each member of our team takes ownership and contributes a unique piece to our journey into the exciting realm of web3. Together, we craft more than just meaningful products and services—we create a lasting tangible impact in the real world.

We want you to join our search for greatness at the edge of what is technologically possible. Are you tired of the ordinary? Crave a challenge that sparks passion and purpose?

We’d love to have you apply!

The role you’re applying for

As we aim to simplify the web3 experience, enhance user engagement through personalized recommendations, and take our users along in this journey of web3 awareness, we are leveraging cutting-edge AI technology to build a scalable web3 solution that abstracts away all the underlying complexity. With the expansion of our AI capabilities, we’re looking to onboard a Machine Learning Engineer with a keen interest in web3 and experience in data engineering, and natural language processing to join our team.

This individual will play a key role in building our recommendation systems and AI-assistant, while also helping establish robust data pipelines for on-chain and off-chain data collection.

What you’ll be doing

As a Machine Learning Engineer, you will:

• Design and develop scalable data pipelines for collecting, processing, and analyzing on-chain and off-chain data from multiple sources.


• Build recommendation engines that offer personalized suggestions for cryptocurrencies, NFTs, and other web3 services to increase user experience and engagement.


• Cross-collaborate with product managers, engineers and developers to integrate AI/ML models into the company’s smart wallet platform.


• Bring experience building AI smart assistants that help users understand complex web3 concepts, answer their questions, and provide seamless onboarding experience.


• Conduct extensive research on blockchain and web3-related data sources, including transaction data, user behavior, and sentiment analysis.


• Optimize and fine-tune models to improve performance and scalability.


• Monitor model performance and continuously iterate to improve the AI-powered recommendations.


• Stay up to date with the latest AI/ML developments and web3 technologies.

What we’re looking for

• 5-7 years of experience in developing and maintaining data pipelines


• Knowledge of databases and cloud-based storage solutions


• Familiar with integrating data from web APIs, such as exchanges, blockchain analytics platforms, and social media.


• Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.


• Understanding of Machine Learning algorithms, with familiarity building chatbots, question-answering systems, or similar conversational AI applications


• Experience with natural language processing (NLP)

Nice to have

• Understanding of the web3 ecosystem with experience/ interest in blockchain technologies.

Highlight

• Strong problem-solving skills, critical thinking, curiosity to learn and work in a fast-paced environment to explore new opportunities in the AI and web3 space.