Senior Machine Learning Engineer



Software Engineering
Gurugram, Haryana, India
Posted on Thursday, July 27, 2023

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 is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Analytics team are uniquely positioned to advise and influence cross-functional projects.

The Role: Machine Learning Engineer

We are growing the Machine Learning team here at Gemini and are looking for a Machine Learning Engineer who is interested in solving diverse and complex business problems.


  • 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.


  • 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 base salary
  • Benefits
  • Discretionary annual bonus

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.