Machine Learning Engineer

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world’s programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role
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

Bonus

• 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