Machine Learning Jobs in Web3

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Job Position Company Posted Location Salary Tags

Gemini

Gurgaon, India

$81k - $100k

Gemini

Gurgaon, India

$63k - $100k

Binance

Singapore, Singapore

Blowfish

remote

$72k - $100k

OpenZeppelin

Remote

$72k - $80k

Ripple

San Francisco, CA, United States

$174k - $175k

Aldrin

Remote

$90k - $100k

NOYA Network

Remote

Gauntlet

United States

$150k - $180k

Ionicpartners

United States

$81k - $100k

OpenZeppelin

United States

$63k - $90k

Storm2

San Francisco, CA, United States

$150k - $200k

Gauntlet

New York, NY, United States

TRM Labs

Remote

$98k - $156k

Yakoa

San Jose, CA, United States

$98k - $156k

Senior Machine Learning Engineer

Gemini
$81k - $100k estimated

This job is closed

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Our flagship product, the Gemini Exchange, was built to be a compliant and secure platform to buy, sell, and store crypto. Our suite of retail products includes ActiveTrader, a high-performance platform for advanced traders. Gemini also offers the Gemini Credit Card providing real-time crypto rewards, the Gemini dollar (GUSD), a U.S. dollar-backed stablecoin, and Gemini Staking, allowing users to securely stake their tokens on-chain and receive rewards. Nifty Gateway, Gemini's NFT platform, is the world's premier marketplace for NFTs and digital art.

Gemini customers also have access to a wide range of institutional products tailor-made for high-net-worth individuals, asset and wealth managers, and hedge funds and liquidity providers seeking exposure to crypto. Customers looking to place large orders can use Gemini eOTC, a fully-electronic over-the-counter trading platform built for high-value bulk orders. For wealth management professionals, we offer a unique destination for their clients’ crypto portfolios from a single platform, and we enable fully electronic clearing and settlement of off-exchange crypto trades.

The Department:Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives continuous value by
enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

The Role: Senior Machine Learning Engineer

We are growing the Data Science team and AI stack at Gemini. We are looking for machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative machine learning models and algorithms.

Responsibilities:

  • Design, develop, and implement machine learning and AI models to optimize across fraud, crypto exchange trading, anti money laundering and NFTs.
  • Analyze large and complex datasets to identify patterns for feature engineering, trends, and anomalies in the market and develop predictive models that can be used for decision-making.
  • Collaborate with software developers and stakeholders to design and implement machine learning systems that can improve the speed and accuracy of the machine learning models.
  • Monitor and analyze the performance of our machine learning models and systems and make necessary improvements to ensure their effectiveness.

Qualifications:

  • Masters or PhD in Statistics, Electrical Engineering, Computer Science or related fields
  • 5+ years of work experience in analytics and data science domain focusing on business problems
  • 5+ years of experience deploying statistical and machine learning models in production
  • 5+ years of experience in integrating data science models into applications
  • Strong skills in programming languages like Python and SQL
  • Expert knowledge with classical machine learning across supervised and unsupervised learning
  • In depth knowledge with Transformers, Generative AI and Deep Learning
  • Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, EKS, AWS, Hadoop, Spark
  • Enthusiasm for Blockchain and crypto and power to unlock economic freedom
It Pays to Work Here
The compensation & benefits package for this role includes:
  • Competitive starting salary
  • A discretionary annual bonus
  • Equity

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

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.