Remote Machine Learning Engineer

Description:

• Immunefi is seeking a skilled and autonomous Machine Learning Engineer to enhance capabilities in leveraging data and developing advanced AI agents.
• The role involves working closely with data, designing machine learning structures, and contributing to the development and refinement of AI agents, particularly using Large Language Models (LLMs).
• Responsibilities include expertly handling, transforming, and processing data, primarily code data such as smart contracts, code bases (particularly Solidity), project data, and vulnerability information.
• The engineer will design and implement machine learning structures to process data and generate insightful outputs.
• Development, chaining, and deployment of AI agents leveraging LLMs is a key responsibility.
• The role requires collaboration within "pods" or working groups, contributing to projects and collaborating with other engineers and stakeholders.
• The engineer will participate in architecture discussions with senior engineers to design system architectures for machine learning applications.
• Writing and maintaining code for machine learning applications using Python and TypeScript is essential.
• Interaction with various stakeholders to gather input and work under time constraints is expected.

Requirements:

• Proven experience as a Machine Learning Engineer with 4+ years of experience in production ML/AI.
• Proficiency in programming languages relevant to machine learning, with strong Python skills being essential for this role.
• Ability to write code and develop machine learning solutions is required.
• A proven track record of designing, building, and deploying LLM-based applications or deep learning models is necessary.
• The candidate must be autonomous and able to take an idea and run with it.
• Ability to work in a fast-paced, collaborative environment is essential.
• Experience in web3 is essential, while experience in security domains is preferred.
• Ideally, the candidate should have experience in machine learning engineering before the LLM boom.

Benefits:

• The position offers a 100% remote-first work environment with a flexible schedule.
• Employees will enjoy an autonomous work environment with trusting, smart, and reliable team members.
• There is an opportunity to build an early-stage company in a dynamically evolving market and industry.
• Employees can build their own path in the company as it continues to evolve and grow.
• The role provides a chance to engage with a global market and meet people from all over the world.
• Employees will have the opportunity to make an impact and participate in building and securing the ecosystem for smart contracts and the future of money, protecting over $100B in user funds.