Machine Learning Engineer

Summary

Join Immunefi, a leading bug bounty platform protecting Web3, as a Machine Learning Engineer. Enhance our capabilities by leveraging data and developing advanced AI agents. You will handle and transform data, design machine learning structures, and develop AI agents using LLMs. Collaborate with engineers and stakeholders, participate in architecture discussions, and write code in Python and TypeScript. Work autonomously and contribute to projects within a fast-paced, collaborative environment. Experience in web3 and security domains is essential and preferred, respectively. Immunefi offers a fully remote, flexible work environment.

Requirements

• Proven experience as a Machine Learning Engineer - 4+ years of experience of production ML/AI
• Proficiency in programming languages relevant to machine learning (Strong Python skills are essential for this role)
• Ability to write code and develop machine learning solutions
• Proven track record of designing, building, and deploying LLM based applications / deep learning models
• Autonomous and able to take an idea and run with it
• Ability to work in a fast-paced, collaborative environment
• Experience in web3 (essential) and security domains (preferred)

Responsibilities

• Data Handling and Transformation: Expertly handle, transform, and process data, primarily code data such as smart contracts, code bases (particularly Solidity), project data, and vulnerability information
• Machine Learning Structure Design: Design and implement machine learning structures to process data and generate insightful outputs
• AI Agent Development: Develop, chain, and deploy AI agents leveraging LLMs
• Collaboration and Integration: Work within "pods" or working groups, contributing to projects and collaborating with other engineers and stakeholders
• Architecture Discussions: Collaborate with senior engineers to discuss and design system architectures for machine learning applications
• Coding: Write and maintain code for machine learning applications using Python and TypeScript
• Stakeholder Interaction: Interact with various stakeholders, gather input, and work under time constraints

Preferred Qualifications

• The candidate should ideally have experience in machine learning engineering before the LLM boom
• Technical skills are similar to those of a developer, but with a strong focus on machine learning theory and tools
• We are looking for an experienced candidate who is able to work autonomously

Benefits

• 100% remote-first work environment, flexible schedule
• Autonomous work environment with trusting, smart, reliable team members
• An opportunity to be building an early-stage company in a dynamically evolving market and industry
• An opportunity to build your own path in the company as we continue to evolve and grow
• A global market (it’s fun to meet people from all over the world every day!)
• A chance to make impact and participate in building and securing the ecosystem for smart contracts and the future of money (we’re protecting over $100B in user funds)