Senior Machine Learning Engineer

Empower the Individual Through Crypto

Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.

At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.

Select roles that are location-specific will still be eligible for flexible schedules.

The Department: Data

Data 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 Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.

The Role: Machine Learning Engineer

Our Trust & Safety team invents, builds, and scales new ways to prevent fraud and secure Gemini platforms and products across multiple cloud substrates. We use big data and machine learning to advance analytics and fraud detection techniques of many forms. We own our solutions through proof-of-concept, production-ready models, tuning, and efficacy monitoring. We are a growing, highly visible agile team where experimentation, collaboration, and spirited discussion are the norm.  

We are looking for an experienced, driven, and creative machine learning engineer to join the team. You’ll be instrumental in a small and fast paced engineering team, responsible for building ML Pipelines and capabilities from the ground up for an exciting and high impact use case on an experienced and growing team with high visibility within Gemini.

Responsibilities:

• Ability to work with complex data sets that meet functional and non-functional business requirements
• Design, architect and build the infrastructure to support large scale, fault-tolerant distributed systems that support Gemini's Trust & Safety teams
• Leverage a wide variety of data sources and technologies like SQL, Apache Spark, AWS S3, Databricks, and Snowflake to extract, transform and load sensitive data
• Ability to communicate clearly with team members across multiple time zones. 
• Operate with autonomous agency to define implementation in a fast paced and rapidly evolving business
• Independently make decisions quickly based on your domain expertise.

Qualifications:

• Familiar with machine learning, data mining, data analysis, and distributed computing, and have deep practical experience.
• Have the passion and drive to apply machine learning and platform skills to solve complex fraud problems
• Experience with impactful ML in the field of fraud or risk
• Experience with synchronous event driven as well as asynchronous batch data processing
• A great communicator with a knack for precisely and concisely explaining problems and solutions to multiple stakeholders, e.g. senior management, product managers, etc. 
• A drive to continuously learn and develop new technologies
• Demonstrated ability to collaborate as part of a highly distributed team

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

• Competitive Compensation and Profit-Sharing Equity
• Flexible vacation policy
• Retirement Plan Matching
• Generous Parental leave
• Comprehensive health plans
• Training and professional development

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 and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.

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