Machine Learning Jobs in Web3

230 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Machine Learning Jobs in Web3
Job Position Company Posted Location Salary Tags

Machine Learning Engineer

Upshot

Remote

$72k - $100k

Senior Product Manager AI ML Data

Paradigm

remote

$90k - $106k

Machine Learning Engineer

Gauntlet Networks

Remote

$150k - $180k

Head of Software Architecture AI ML

Blockchains

Remote

$54k - $60k

ML Entrepreneurship Internship remote

Detof

Switzerland

$18k - $118k

Data Science and Machine Learning Intern

CoinFlip

Chicago, IL, United States

$22k - $62k

Senior Machine Learning Engineer

Gemini

Gurgaon, India

$81k - $100k

Machine Learning Engineer

Gemini

Gurgaon, India

$63k - $100k

Binance Accelerator Program SRE Engineer Machine Learning Operations

Binance

Singapore, Singapore

ML Engineer Data Scientist

Blowfish

remote

$72k - $100k

Machine Learning Engineer

OpenZeppelin

Remote

$72k - $80k

Senior Software Engineer Machine Learning

Ripple

San Francisco, CA, United States

$174k - $175k

Prompt Engineer Remote

Aldrin

Remote

$90k - $100k

Web3 Machine Learning Engineer Quantitative Strategist

NOYA Network

Remote

Machine Learning Engineer

Gauntlet

United States

$150k - $180k

Machine Learning Engineer

Upshot
$72k - $100k estimated

This job is closed

Machine Learning Engineer

Remote /
R & D – Machine Learning /
Full-time
/ Remote

Apply for this job
Upshot is the preeminent company providing appraisal services for NFTs and unique digital assets. Leveraging cutting-edge machine learning models, Upshot produces accurate, real-time appraisals for almost any NFT. Our products create a broad new frontier for NFT markets, enabling an entirely new class of financial primitives.

We are a team of crypto-natives and ML experts, with deep experience working on some of the leading projects in Web3, and backed by the foremost funds and angels in crypto. At Upshot, we are committed to nurturing top talent looking to make an impact at the forefront of this new frontier.

The NFT marketplace poses considerable challenges for ML model development, as NFT collections and data sources are in constant flux. Pricing NFTs needs to successfully deal with the scale and rapid evolution of the marketplace, as well as the idiosyncrasies of individual NFT collections. This is a complex ML problem with various challenging aspects: heterogeneous input data in different formats (images, text, video, audio), arbitrary metadata per collection, sparse transaction and auction history, cold-start problems, and high risk of model drift over time.

We are looking for an ML Engineer to join our Data & ML team. Our growing team of ML engineers is responsible for building market-leading ML models that accurately estimate the value of NFTs and NFT collections, utilising the heterogeneous data available per collection. The ML Engineer will report to our Head of Data & ML.

Responsibilities

    • Building, deploying, maintaining and monitoring the ML models at the core of our product
    • Exploring and analyzing existing and new datasets to create highly predictive features and insights
    • Working with our Data team to productionize a ML models and prioritize new datasets
    • Building ML libraries and frameworks for robust testing and fast deployment of ML models

Requirements

    • 3+ years building and deploying ML models to production in a commercial setting
    • 5+ years Python programming experience, particularly on the data science stack
    • 5+ years SQL
    • Strong statistical skills and scientific mindset
    • Experience working with complex datasets
    • Experience productionizing and monitoring ML models and creating automated pipelines
    • Experience building modular, extensible and reusable ML frameworks 
    • Strong communication and documentation skills
    • Team player with a collaborative mindset
    • Technical degree in engineering, computer science, or equivalent (ML education is a plus)

Upshot is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply for this job

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.