Machine Learning Engineer, Immunefi
Security service platform for web3
Be an early applicant
Security service platform for web3
101-200 employees
Be an early applicant
101-200 employees
Company mission
To protect the future of money.
Role
Who you are
- 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)
- 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
What the job involves
- Immunefi is seeking a skilled and autonomous Machine Learning Engineer to enhance our capabilities in leveraging data and developing advanced AI agents
- This role will involve working closely with data, designing machine learning structures, and contributing to the development and refinement of AI agents, particularly using Large Language Models (LLMs)
- 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
Our take
As Web3 expands, crypto projects face the ongoing risk of scammers and hackers. Immunefi is tackling this challenge and leading the way in security within DeFi and Web3. Facilitating network hosting, bug triaging, and program management in the Blockchain, Immunefi also offers smart contract projects to its customers, reviewing code, disclosing possible vulnerabilities, and securing these projects from exploits.
Since launching in 2020, customers of Immunefi include smart contract projects like Synthetix, TheGraph, Polygon, and SushiSwap. The company is now focusing on onboarding many more in the near future.
With bug bounties being a critical component of the company's long-term survival within the industry, Immunefi has partnered with the likes of ICON Foundation and Binance Smart Chain, securing more projects and cementing its standing within the rapidly growing Web3 world. September 2022 saw $24 million Series A awarded to Immunefi, leading to more incentives for whitehat hackers to engage with its bug bounty challenges.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2022
$24m
SERIES A
Oct 2021
$5.5m
EARLY VC
Total funding: $29.5m
Company benefits
- 100% remote-first work environment with flexible scheduling
- An 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 it continues to evolve and grow
Company HQ
Chinatown, Singapore
Leadership
Mitchell Amador
(Co-Founder & CEO)Co-founded Immunefi in 2020.
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