Machine Learning Jobs in Web3

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Job Position Company Posted Location Salary Tags

Immunefi

Remote

$126k - $127k

Zscaler

Remote

$122k - $127k

Zinnia

Remote

$126k - $131k

Inmobi

Remote

$122k - $150k

Coinbase

Remote

$180k - $212k

Zscaler

Remote

$147k - $210k

Coinbase

Remote

$186k - $218k

Coinbase

Remote

$191k

CEF ai

San Francisco, CA, United States

$80k - $250k

Zscaler

Remote

$175k - $250k

Zora

Remote

$105k - $108k

Whatnot

Remote

$91k - $117k

Genies

Remote

$40k - $50k

Synechron

Pune, India

$80k - $85k

Whatnot

London, United Kingdom

$87k - $109k

Immunefi
$126k - $127k estimated
Remote
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  About Immunefi Immunefi exists to protect the future of money. Immunefi is Web3's last line of defense and leading bug bounty platform, preventing catastrophic hacks before user funds are stolen. Our team is highly specialized, so we’re looking for talented people who are willing to jump right in and use their expertise to help us protect Web3. If you’re looking to join a fast-paced, problem solving environment at the very core of decentralized finance, then read on.  Summary 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)   Role 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.

  Applicant 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)

  Additional Information

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.

 Working at Immunefi Immunefi is the foremost Bug Bounty Marketplace in the crypto / Web3 space providing a platform to facilitate the protection of billions of user funds. We aim for excellence in all we do and want to build a world class team of highly skilled professionals who can help us to scale & develop our company. If you are successful in joining the team, you will be working in a highly collaborative, cross-functional environment where ideas, input & communication are prized. By necessity, the work pace here is rapid and we need people who are able to rapidly immerse themselves. As a fully remote and geographically dispersed team, we require everyone to be capable of autonomous & self-driven work in addition to being able to manage communication across global timezones.   Our Core Values Always start with the customer - we start with the best outcome for the customer. Constant vigilance - the safety and success of our customers and the company depend on our high security standards. Bias for action - we proactively make decisions to drive impactful outcomes. Always raise the bar for excellence - we build and hold each other accountable for a culture of discipline and excellence. Think big and bold - we set audacious goals. Act as an owner and drive outcomes to the finish line - we fully commit to work that best serves the company and our mission. Build trust, act with integrity - we consistently solve problems and honor our commitments with our team, customers, and community.   What We Offer

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)

Is machine learning a good career?

Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it

As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data

Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process

Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more

These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology

The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive

However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science

It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field

If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.