Machine Learning Engineer

We’re Andalusia Labs. Andalusia Labs is a collection of leading technology companies, including Karak, the risk management infrastructure for digital assets; Subsea, the risk management marketplace for digital assets; and Watchtower, the institutional security platform for digital assets. With a mission to protect and empower the financial interests of the next billion users, Andalusia Labs also aims to act as a driving force behind inclusive financial growth and innovation in the emerging digital age.

We are one of the most impactful teams in blockchain leveraging deep experience from building massively scalable software systems, AI, fintech, and blockchain products at leading companies like Coinbase, Google, AWS, Twitter, Social Capital, Goldman Sachs, and High-Frequency Trading Firms.

Andalusia Labs is backed by Coinbase, Mubadala (Abu Dhabi Sovereign Wealth Fund), Lightspeed, Bain Capital, Pantera Capital, Framework Ventures, Digital Currency Group, Proof Group, Nima Capital, and Naval Ravikant, as well as founders, general partners, and executives from globally leading organizations like Founders Fund, Google, and Coinbase, among many others.

Overview
We are looking for a talented and driven Machine Learning Engineer who is passionate about building innovative products from 0 to Production. As a Machine Learning Engineer, you will work on a variety of projects related to applied machine learning. You will work closely with the founders, engineers, and other cross-functional partners and bring new products and business lines to market. This is an amazing opportunity offering you the ability to learn new technical skills in blockchain and work with an amazing team of engineers.

Responsibilities

• Work closely with the founders, engineers, and other cross-functional partners to rapidly iterate, experiment, and launch products
• Improve and optimize LLMs for use in production systems
• Design and implement scalable data and machine learning pipelines
• Build best-in-class AI chatbots that guide users through their Karak journey by translating research papers, blogs, and technical documentation into more accessible content
• Participate in discussions from the initial product ideas to launch
• Understand, build, and help optimize financial algorithms

Requirements

• BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
• 5+ years of systems programming experience working with at least one of these languages (Python, Scala, Java)
• Experience building machine learning models with ML frameworks such as Tensorflow, PyTorch, and other open-source frameworks
• Experience manipulating and optimizing large amounts of structured and unstructured data through pipeline development tools
• Familiarity with modern software development practices, including version control (Git), continuous integration, and automated testing as applied to Rust, Go, and/or Solidity stacks
• Highly autonomous, ability to design and develop software with minimal guidance
• Ability to work in a fast-paced environment and across the product engineering stack
• Clear written and verbal communication

Nice To Have

• Experience building or working on open-source ML projects
• Experience building on EVM, Solana, or Cosmos
• Experience in algorithmic trading or understanding of traditional finance primitives
• Founded a company
• Experience working with startups