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Machine Learning Engineer
- San Francisco, California, United States
- San Francisco, California, United States
Über
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
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Sprachkenntnisse
- English
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